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Medellín, Antioquia, Colombia
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Luis Montoya reposted thisLuis Montoya reposted thisBig news! A.Team has been selected for the Microsoft for Startups Pegasus Program — an invite-only cohort of companies recognized for providing new ways to solve strategic enterprise challenges. One of the biggest challenges with AI is changing the way people already operate. To solve this we spent the last two years building custom agentic AI systems for Fortune 500 companies that embed across the Microsoft ecosystem. They act as intelligent middleware: connecting fragmented data sources, building compounding intelligence grounded in each organization's own metrics, and surfacing insights directly inside the tools teams already use. Think deep copilot and Teams integrations, context aware agents in Powerpoint, Word, Excel, etc. to help you put together your slides and reports while your AI surfaces insights, sections, graphs & tracks follow ups from meetings. Opportunities that used to take enterprise teams weeks of validation are now discoverable in real-time, monthly reporting has turned into compounded institutional learning, and the best part: teams actually leverage it because it hasn’t changed their workflow, it’s only made it better. The last thing teams want is another disconnected tool. Our commitment is to ensure the billions being invested in AI infrastructure actually translate into real productivity, and we’re doing this by supercharging the people doing the real work day-to-day — from the analysts writing reports to the executives leading $100B+ companies. With the Pegasus Program, A.Team gains access to Microsoft Azure credits, advanced AI tools, and a global network that accelerates our ability to build faster, scale smarter, and continue delivering this kind of embedded intelligence across the enterprise. ShiSh S. Heena Purohit Tom Davis #MicrosoftforStartups #BuiltwithMfS
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Luis Montoya reposted thisLuis Montoya reposted thisI failed so many System Design interviews until I learned these 10 concepts: 1. B-Trees vs LSM Trees: https://lnkd.in/gvNmyeUK 2. Database Replication: https://lnkd.in/gCS8Ydbk 3. SQL vs NoSQL databases: https://lnkd.in/g6ACc2hV 4. Consistent Hashing: https://lnkd.in/gHHrnahN 5. Cache Writing Policies: https://lnkd.in/gYJ5shjK 6. Cache Eviction Policies: https://lnkd.in/ggeNgDCd 7. Content Delivery Network (CDN): https://lnkd.in/g9YBHC4s 8. Batch Processing vs Stream Processing: https://lnkd.in/g36_q-S8 9. Long Polling vs WebSockets vs Server-Sent Events: https://lnkd.in/gkzXuKrJ 10. Search Index and ElasticSearch: https://lnkd.in/gW4FUuru #systemdesign #softwareengineering #codinginterview
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Luis Montoya shared thisI never re-post a job-seeking message unless I'd personally vouch for the person's hire. Case in point, I had the pleasure of working with Lisa at A.Team for over a year, which was an absolute blast. She made my life as a developer significantly easier, as I was able to discuss highly technical matters with her. Any company that brings her on board will count it as a win!Luis Montoya shared thisI hope this post finds you all in good health and high spirits. Today, I wanted to share a personal update: After almost 1.5 years of dedicated service at A.Team, I experienced a layoff along with a group of teammates from across the business. While this chapter in my professional journey has come to an unexpected close, I firmly believe that every challenge presents an opportunity for growth and new beginnings. During my time at ATeam, I had the privilege of working with a very talented team and contributing to some remarkable projects; and, the opportunity to build another technical support organization from zero-to-one. I am grateful for the valuable experiences and knowledge gained, which have undoubtedly shaped me into a more resilient professional. I am saddened for my peers who were included in this group. All stand-up professionals who worked very hard with love and passion. I was lucky enough to get the opportunity to work with them and hope the best for each one. I am also grateful for every person who reached out to share their love, or stories about the impact I had. I drew strength from this. The deep relationships we developed were meaningful to me and won't be forgotten. As I embark on this new phase of my career, I am actively seeking fresh opportunities. My expertise lies in Product Support Operations/Support Engineering and Tools/Quality. I am enthusiastic about continuing to leverage my deep expertise and skillset to make a positive impact in a new and exciting role. If you know of any openings or organizations that may benefit from my skill set, I would greatly appreciate your support and a chance to connect. Feel free to reach out via direct message. I also want to express my willingness to help others in their job search. I believe in the power of networking and supporting one another throughout our career journeys. 🚀 #OpenToWork #JobSeeker #CareerOpportunities #Networking #NewBeginnings
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Luis Montoya shared thisLuis Montoya shared thisLast week, 80 A.Teamers swapped their desks for a week of boot-shaped magic in Italy. With company-wide sessions helmed by our CXOs – Angelique Bellmer Krembs, Wagner Denuzzo, and AJ Thomas ⚡️– we dove headfirst into a company-wide hackathon and led cross-collaboration breakout sessions. The result? A thrilling blend of work and play that left us brimming with gratitude and gelato, and an unshakeable belief in our global team of innovators. Stay tuned for an in-depth recap.
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Luis Montoya shared thisLuis Montoya shared thisWhat happens when you make it to the summit of the corporate ladder? They say it's lonely at the top, but for a select group of 18 elite C-suite executives, getting to the top meant teaming up and taking on the next challenge: shaping the future of distributed teams and transforming the way industries build world-changing products. Welcome to A.Team's CxO Network — a small but mighty group of expert strategic advisors who are ready to be hands-on, roll up their sleeves and tackle high-impact product initiatives for the 400+ market-leading startups, growth stage, and enterprise companies building with A.Team to revolutionize the future. Coming from legacy companies like Google X Ventures, JP Morgan Chase, LifePoint, Walmart, and PepsiCo, they’re ready to drive innovation and develop breakthrough products that will change the world. Meet your CxO network: ⚡ AJ Thomas, Chaos Pilot and Head of Talent at X ⚡ Wagner Denuzzo, LCSW (He/Him/His), VP of Organizational Effectiveness at Prudential ⚡ Meng Chee, former Chief Product Officer at Walmart ⚡ Jessica Beegle, Chief Innovation Officer at LifePoint ⚡ John Boudreau, Professor Emeritus of Organizational Psychology at USC Marshall ⚡ Jenny Dearborn, former Chief Talent Officer and VP at SAP ⚡ Gabriela Ewachiw, PMP, CBAP, Director of Innovation Operations at Amtrak ⚡ Anu George, Client Experience Digital Transformation Leader at AIG ⚡ Angelique Bellmer Krembs, former VP of Marketing at PepsiCo and Head of Brand at BlackRock ⚡ Lauren Lyons, former COO at Firefly Aerospace ⚡ David Bickerton, former VP of Innovation at HP and Chief Information Officer at Micro Focus ⚡ Britta Hale, Security Researcher and member of the Board of Directors for the International Association of Cryptologic Research ⚡ Christopher Manuel, former SVP at Sierra Nevada Corporation ⚡ Rajan Mehndiratta, Executive Director of Data Transformation at JP Morgan Chase ⚡ Tim Požar, Vice President at San Francisco Metropolitan Internet Exchange ⚡ Dr. Quintin McGrath, D.B.A., former Global Sr Managing Director at Deloitte Build the future: https://bit.ly/3E0a7yQA.Team Adds 18 Industry Luminaries to Its CxO NetworkA.Team Adds 18 Industry Luminaries to Its CxO Network
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Luis Montoya shared thishttps://lnkd.in/dpWRUGpK So happy with the acquisition! Can't wait to keep building amazing/relevant software! #theInside #havenlyHavenly acquires direct-to-consumer home furnishing company The Inside | TechCrunchHavenly acquires direct-to-consumer home furnishing company The Inside | TechCrunch
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Luis Montoya shared thisHola! Comparto el post de Sebastián en caso que alguien esté interesado en sus servicios como programador front-end, hace poco tuve la oportunidad de trabajar con él en un proyecto usando React/Redux y quedé gratamente sorprendido por sus habilidades, a pesar de tener poca experiencia lo compensa de sobra con dedicación y muy buena actitud. Super recomendado. #reactjs #oportunidaddeempleoLuis Montoya shared thisHola estimada red, me encuentro en la búsqueda de empleo, soy programador web (front-end) con 1 año de experiencia y recurro a ustedes con el ánimo de encontrar una oportunidad que me permita demostrar todo el potencial que tengo, soy una persona muy responsable, con una curiosidad innata por aprender algo nuevo cada dia, autodidacta y un gran fan del trabajo en equipo. Les agradezco si comparten este post entre sus contactos.
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Luis Montoya posted thisI was bored so I redesign my personal page, maybe it was too much? What would you change it? https://luis-montoya.com Any suggestions would be greatly appreciated!
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Luis Montoya shared thishttps://lnkd.in/ej45FzFWe connect expertly vetted talent with world-class clients.We connect expertly vetted talent with world-class clients.
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Luis Montoya liked thisLuis Montoya liked this¿Qué tanta repercusión ha tenido el libro más exitoso que he publicado y al que más cariño le pusimos en su desarrollo ("Python para principiantes: Aprender a programar con Python de manera práctica y paso a paso") https://lnkd.in/g6jhdGtz? Veamos algunos datos. 𝟭) El libro fue lanzado en 2023, y desde entonces tenemos casi 48.000 descargas desde Amazon, y poco más de 300 compras de la versión física (ver imagen 1). Nota: la mayoría de las descargas han sido sin pagar (hemos colocado el libro gratis en algunas de las tiendas de Amazon). 𝟮) Casi 15.000 descargas gratuitas de Apple Books (ver imagen 2). Y todo eso sin contar la cantidad de copias y descargas "piratas" que existen en la web. 𝟯) Cada semestre entre 400 y 600 estudiantes de casi todos los pregrados de la Universidad EAFIT (Medellín, Colombia) utilizan este libro como referencia en un curso llamado "Pensamiento Computacional" (en realidad, el libro lo construimos utilizando como base el material que diseñamos para ese curso hace como 4 años). 𝟰) Hemos encontrado universidades que han comprado copias físicas, y las han integrado en sus bibliotecas. Por ejemplo, la UAM (Universidad Autónoma de Madrid, ver imagen 3). 𝟱) Hemos llegado a más de 1.000 reseñas en Amazon, con una puntuación promedio de 4.6 (ver imagen 4). 𝟲) Hemos recibido cientos de correos electrónicos de personas de muchos países, de diferentes edades, agradeciéndonos por la manera en la que explicamos las bases de la programación en Python y por lo útil que les ha sido el libro (ver imagen 5). 𝟳) Hemos encontrado personas que revenden este libro desde Mercado Libre en diferentes países (ver imagen 6). 𝟴) Hemos encontrado cursos que colocan este libro en sus referencias bibliográficas (ver imagen 7). 𝟵) El repositorio en GitHub del libro cuenta con más de 100 estrellas de diferentes programadores al rededor del mundo (ver imagen 8). 𝟭𝟬) Finalmente, los Mexico (27.000), Brasil (17.000), Estados Unidos (5.000) y España (5.000) son los países, desde donde más se ha descargado este libro.
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Luis Montoya liked thisLuis Montoya liked thisMy agent's browser session died at 3am. By 8am, four cron jobs failed and my morning was gone before it started. I built Mark to run my startup's marketing. Not a scheduler. Not a chatbot. An agent that wakes up every morning, scouts X, LinkedIn, and Discord for opportunities, drafts comments and content, and delivers everything to Slack for review and post. It runs 10+ automated jobs a day. It has 15 markdown files that define its personality, strategy, and memory. It has a 400-line document of things it's never allowed to say. Some things I learned the hard way: - "Wild to watch." "Great point." "That's the missing piece."... these are bot signals. Real people don't talk like this. Every few days I find a new pattern to ban. - Browser-based automation is free but fragile. Sessions die silently. Platforms don't want agents browsing. I now start every morning checking if my agent's sessions are still alive before anything else. - My budget estimate was off by several multiples. Still cheaper than a marketing hire. But "cheap" and "what I planned for" are two different things. - The agent produces volume. My quality bar cuts most of it. Out of every batch of drafts, maybe a third make the cut. The rest aren't bad enough to be obvious bot slop, but not good enough to post under my name. This is still a live experiment. No success story yet. Just a system that runs, breaks, gets fixed, and runs again. Wrote the full breakdown as an article. Link in comments.
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Luis Montoya liked thisLuis Montoya liked thisWow, crazy things have happened since I posted the Wone launch video. I've gotten the most views and reach out of anything I've ever posted here. I got so many messages, new followers and users signing up to try Wone. And that's exactly why I've taken my sweet time to do this follow up. I wanted it to be great, before showing it to everyone, which led me down a rabbit hole of doing more and more and more. But I decided to show what we actually have live today instead, before diving any deeper into what's coming next and showing you all the things I've built in the meantime. Wone is currently very simple, by design, and it's made to do one thing. It finds talent for you, based on your job description. That's it. And it does it in 30-40 seconds. And what better way to show you how it works other than using an actual open role from WRITER, the company I work for. (Check out WRITER’s careers page, we’re hiring. A lot!) I put Wone to the test with a real job description, and I had a lot of fun doing this with our own role. Check out the video, give Wone a go and let me know how you like it. Share with your recruiter friends. Have fun! The last thing I'll say, just check out what an AI engineered product can look like, when you put effort into it. And be ready for the updates that are coming!
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Luis Montoya liked thisLuis Montoya liked thisHello LinkedIn Network! I’m speaking at Grindr’s upcoming event with my colleagues Max Roche and Ravi Pillalamarri about all things AI and how we are utilizing it to up level our product. There will be drinks, discussion, and connecting with Chicago’s top engineers, PMs and leaders. I’d love to see you there on Wednesday April 8th at 6:00 PM at Soho house. If you are interested in attending, please send a note to TA for more information @ [email protected]
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Luis Montoya liked thisLuis Montoya liked this190+ startups presented at Y Combinator’s W26 Demo Day this week. Here's what they're building: 35% of W26 companies score in the top 20% of all YC companies ever evaluated. Rebel Fund has attended every Demo Day since 2013 and never seen a number like that. The traction numbers are wild: → One company closed a Fortune 100 deal in 3 weeks → 3x more companies hit $1M ARR than the previous batch → Pocket (AI note-taking device) walked in at $27M ARR with 50% month-over-month growth But honestly, the founders are just as interesting as the products: → 22 solo founders - 11% of the batch, one person building alone → A 22-year-old college dropout is building the first hotel on the Moon and presented a Moon brick to the US Congress → 3 companies raised big money before even joining YC: Ndea ($43M), Mango Medical ($8.3M), Beacon Health ($5.4M) The most interesting part is the shift in what YC is actually betting on. AI agents went from 50% of the batch in S25 to just 19% this time. The ones that got in are hyper-specific - AI dental receptionists, AI law firm operators, AI supply chain managers. What replaced them? Hardware, bio, defense, space, AGI research. Stuff that requires real scientific expertise and can't be built over a weekend with an API key. Gustaf Alströmer (General Partner at YC) said it's the best batch he's ever seen. Your thoughts?
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Luis Montoya liked thisLuis Montoya liked thisBig news! A.Team has been selected for the Microsoft for Startups Pegasus Program — an invite-only cohort of companies recognized for providing new ways to solve strategic enterprise challenges. One of the biggest challenges with AI is changing the way people already operate. To solve this we spent the last two years building custom agentic AI systems for Fortune 500 companies that embed across the Microsoft ecosystem. They act as intelligent middleware: connecting fragmented data sources, building compounding intelligence grounded in each organization's own metrics, and surfacing insights directly inside the tools teams already use. Think deep copilot and Teams integrations, context aware agents in Powerpoint, Word, Excel, etc. to help you put together your slides and reports while your AI surfaces insights, sections, graphs & tracks follow ups from meetings. Opportunities that used to take enterprise teams weeks of validation are now discoverable in real-time, monthly reporting has turned into compounded institutional learning, and the best part: teams actually leverage it because it hasn’t changed their workflow, it’s only made it better. The last thing teams want is another disconnected tool. Our commitment is to ensure the billions being invested in AI infrastructure actually translate into real productivity, and we’re doing this by supercharging the people doing the real work day-to-day — from the analysts writing reports to the executives leading $100B+ companies. With the Pegasus Program, A.Team gains access to Microsoft Azure credits, advanced AI tools, and a global network that accelerates our ability to build faster, scale smarter, and continue delivering this kind of embedded intelligence across the enterprise. ShiSh S. Heena Purohit Tom Davis #MicrosoftforStartups #BuiltwithMfS
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Luis Montoya liked thisLuis Montoya liked thisCEO of Y Combinator shared his Claude Code skill setup 🔥 Imagine CEO + designer + developer + QA tester in one loop. It's called gstack - and you can install it with a single paste. ☑️ 8 opinionated workflow skills for Claude Code ☑️ A /browse command powered by Bun + Playwright ☑️ Around 20× faster than Chrome MCP ☑️ No context bloat while testing apps Here's what each skill does: - /𝗽𝗹𝗮𝗻-𝗰𝗲𝗼-𝗿𝗲𝘃𝗶𝗲𝘄 - validates the idea and scope - /𝗽𝗹𝗮𝗻-𝗲𝗻𝗴-𝗿𝗲𝘃𝗶𝗲𝘄 - stress-tests the technical plan - /𝗿𝗲𝘃𝗶𝗲𝘄 - finds bugs and production risks - /𝘀𝗵𝗶𝗽 - tests, pushes, and opens the PR - /𝗯𝗿𝗼𝘄𝘀𝗲 - full QA pass on your live app in ~60 seconds - /𝗾𝗮 - structured QA reports with health scores and regression tracking - /𝘀𝗲𝘁𝘂𝗽-𝗯𝗿𝗼𝘄𝘀𝗲𝗿-𝗰𝗼𝗼𝗸𝗶𝗲𝘀 - test auth pages without manual login - /𝗿𝗲𝘁𝗿𝗼 - team retro with per-person feedback Instead of treating Claude as a generic assistant, Garry designed a structured loop - planner, engineer, reviewer, QA - all running in sequence before anything ships. For small teams, this changes everything. You don't need a 10-person eng team to ship like one anymore. You just need the right setup. If you’re building with Claude, it’s worth studying! Link to the repo: https://lnkd.in/dvRRxmfQ -- At Fluently (AI English speaking tutor, GetFluently.app) we've been running Claude Code daily with a lean dev team - adding structured loops like this made a real difference in speed and quality without adding headcount.
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Luis Montoya liked thisLuis Montoya liked thisThis 𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱 file can help you ship 10x faster 👇 It combines all the best practices shared by creator of Claude Code: Boris Cherny (creator of Claude Code at Anthropic) shared on X internal best practices his team actually uses with Claude Code daily. Someone turned his threads into a structured 𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱 file you can plug into any project. The file guides Claude to operate like a senior engineer: → Breaks complex tasks into subtasks for 3+ step work → Delegates work across subagents like a team lead → Learns from your corrections and turns them into rules → Verifies its own work before shipping → Fixes bugs autonomously The real value here is compounding improvement. Every correction you make, the system remembers. Week one you're fixing things constantly. A month later, it ships features closer to how you actually want them - without the back-and-forth. For early-stage teams where every hour and every dollar counts, this is the kind of leverage that used to require a $180K/year senior hire. If you're a founder building with AI tools like Claude Code, this will give you a real unfair advantage. -- At Fluently (AI English speaking tutor, GetFluently.app), we use Claude Code daily to ship features a lean dev team. Adding structured rules like this boosted our speed and code quality without needing to scale headcount.
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Publications
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Uso de un ambiente virtual competitivo para el aprendizaje de algoritmos y programación - Experiencia en la Universidad Nacional de Colombia
TISE - Conferencia Internacional Sobre Informática Educativa
En este artículo de describe la experiencia dentro de la
Universidad Nacional de Colombia, más específicamente con
estudiantes de pregrado de la Sede Medellín, del uso de PPC
(Programming Practice Center). PPC es una plataforma virtual
que permite a los profesores crear y administrar cursos
relacionados con la programación de computadores a partir de
ejercicios de tipo ACM-ICPC. La característica principal de dicha
plataforma es que emplea un juez en línea, donde los…En este artículo de describe la experiencia dentro de la
Universidad Nacional de Colombia, más específicamente con
estudiantes de pregrado de la Sede Medellín, del uso de PPC
(Programming Practice Center). PPC es una plataforma virtual
que permite a los profesores crear y administrar cursos
relacionados con la programación de computadores a partir de
ejercicios de tipo ACM-ICPC. La característica principal de dicha
plataforma es que emplea un juez en línea, donde los estudiantes
pueden mantener un registro de su avance y desarrollar sus
habilidades en diferentes temas mediante la resolución de
problemas al tiempo que compiten con sus compañeros.Other authorsSee publication -
Creación y monitoreo de video juegos educativos multi-jugador masivos en línea
LACLO - Latin-American Community on Learning Objects
En este artículo se presenta una plataforma llamada Erudito que permite no solo la creación, sino también el
monitoreo de video juegos educativos de un tipo específico: multi-jugador masivos en línea. En su primera parte se
describe la filosofía y funcionalidad de la plataforma tanto para los usuarios creadores (generalmente docentes) como
para los jugadores (generalmente estudiantes). En la segunda parte se presenta una validación llevada a cabo con 49
sujetos, todos ellos…En este artículo se presenta una plataforma llamada Erudito que permite no solo la creación, sino también el
monitoreo de video juegos educativos de un tipo específico: multi-jugador masivos en línea. En su primera parte se
describe la filosofía y funcionalidad de la plataforma tanto para los usuarios creadores (generalmente docentes) como
para los jugadores (generalmente estudiantes). En la segunda parte se presenta una validación llevada a cabo con 49
sujetos, todos ellos docentes de diferentes grados de básica primaria y secundaria. Esta validación recoge las valoraciones
cuantitativas y cualitativas de los participantes respecto a su percepción de Erudito, junto con las ventajas, desventajas y
retos que perciben para su utilización en ambientes reales de aulas de clase.Other authorsSee publication
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Viral Parekh
Bacancy • 3K followers
Legacy Ruby on Rails applications don’t fail because of Rails. They fail because of how we treat them. Over the past few years, I’ve worked on multiple Rails applications that were 5–10+ years old. Some had massive technical debt, slow performance, and onboarding nightmares. The common reaction was always the same: "We need to rewrite this." But here’s what I’ve learned — most legacy Rails apps don’t need rewrites. They need leadership, discipline, and strategy. A legacy Rails application is not a liability. It’s a system that has survived real users, real scale, and real business pressure. The real problems usually look like this: • Business logic scattered across controllers, models, and callbacks • God models that do everything • Fear of touching code because nothing has tests • Performance bottlenecks hidden behind years of patches • Developers adding quick fixes instead of long-term solutions And over time, complexity compounds. But here’s the truth most people miss: Legacy Rails apps can become high-performing, scalable systems without rewrites. What actually works: • Introducing service objects to isolate business logic • Adding tests around critical workflows first (not chasing 100% coverage) • Gradually refactoring instead of rewriting • Improving database indexing and query efficiency • Removing magic and making the system more explicit • Improving developer experience so teams can move faster with confidence Rails itself is rarely the bottleneck. Lack of structure is. Some of the fastest-growing companies still run on Rails. Not because it’s trendy, but because it’s productive, stable, and battle-tested. The goal is not to avoid legacy. The goal is to evolve it. Because a well-maintained Rails application can scale for a decade or more. And the engineers who know how to transform legacy systems into scalable architecture are the ones who create the most impact. Curious to hear from others — what’s the biggest challenge you’ve faced with legacy Rails applications? 🤨 #ruby #rubyonrails #legacysystems
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1 Comment -
Nearcode
602 followers
Senior engineers in LATAM are being recruited aggressively by US companies. The offer is simple: Work on their products. Join their teams. Same timezone. Better compensation than local. If you're a CTO, you've probably felt this. Your best people get LinkedIn messages daily. Offers keep climbing. You can't match Silicon Valley salaries. If you're a senior engineer, you know this too. The opportunities are real. But most of them treat you like "offshore staff," not a real team member. Here's what's changing: The best setups now are hybrid. Engineers in LATAM working directly with US product teams. Integrated. Not outsourced. Same standups. Same Slack. Same ownership. For CTOs: You can access this talent without losing control or culture. For engineers: You can work on world-class products without being treated as second-tier. If either of these resonates, let's explore what's possible. #EngineeringTalent #TechHiring #LatamEngineers #RemoteTeams
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AI Crush
890 followers
🚀 Meta just announced their Llama API at the first-ever LlamaCon developer conference! This new API will let developers build applications powered by Meta's Llama AI models, starting with Llama 3.3 8B. They're promising they won't use customer data to train their own models, and you can transfer any models you build to another host. For those working with the new Llama 4 models, they're offering special options through partnerships with Cerebras and Groq to help with prototyping. Meta's clearly making moves to stay ahead in the open model space where they've already seen over a billion downloads of Llama models! 🔥 Who's excited to start building with this? Access is limited now but will expand "in coming weeks and months." Any developers here planning to try it out?
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Enrique F. Pons Martínez
Timbi • 18K followers
I’ve been catching up on some incredible content lately and wanted to share a few shoutouts that have genuinely shaped how I think about GTM, talent, and scaling across regions. First — the work Enzo Cavalie is doing with Startupeable is absolutely brutal (in the best way). I love his podcasts — practical, founder-first, and grounded in real operational experience. If you haven’t tuned in yet, it’s worth your time. Second — I want to put a spotlight on Javier Ramírez Lugo (Cuota), a partner we work closely with at Timbi and someone I highly recommend personally. The perspective he brings — especially around expanding B2B sales in different regional markets — is rare and super valuable. In particular, here are three things that stood out from his recent piece (link below): 1️⃣ How he broke down selling in Latin America vs. the US — not just culturally, but strategically, structurally, and in terms of motion design. This is the kind of thinking that separates good GTM from great. 2️⃣ Real playbooks for building predictable sales engines in early-stage and scale-up environments — grounded in examples from multiple unicorn contexts. 3️⃣ The emphasis on talent and team design — how the right hires, at the right time and with the right incentives, completely shift velocity. Working alongside Javier has been a real pleasure — not just because he is smart, but because he gets operator-led execution in a way that aligns with how we think about talent and growth. If you’re building in #LatAm or #scaling into the region (or just expanding commercially overall), here’s to more content that actually moves the needle 🚀: https://lnkd.in/e7P2RXXM
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Victor Contreras Da Silva
KAI. • 29K followers
𝗕𝗲𝗶𝗻𝗴 "𝗮 𝗴𝗼𝗼𝗱 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿" 𝘄𝗼𝗻'𝘁 𝗴𝗲𝘁 𝘆𝗼𝘂 𝗮 𝗴𝗹𝗼𝗯𝗮𝗹 𝗷𝗼𝗯 𝗶𝗻 𝟮𝟬𝟮𝟱. 𝗛𝗲𝗿𝗲'𝘀 𝘄𝗵𝗮𝘁 𝘄𝗶𝗹𝗹. I see it every day: brilliant LATAM developers sitting on the sidelines, waiting for their "big break." Meanwhile, less technically skilled devs are landing $80K+ remote roles. The difference? It's not code quality. Here's what actually gets you hired: ✅ 𝗘𝗻𝗴𝗹𝗶𝘀𝗵 𝘁𝗵𝗮𝘁 𝗱𝗼𝗲𝘀𝗻'𝘁 𝗺𝗮𝗸𝗲 𝗖𝗧𝗢𝘀 𝘀𝗾𝘂𝗶𝗻𝘁. If they have to decode what you're saying in a Slack message, they'll pass. Harsh? Yes. True? Absolutely. ✅ 𝗔 𝗽𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼 𝘁𝗵𝗮𝘁 𝘀𝗽𝗲𝗮𝗸𝘀 𝘁𝗵𝗲𝗶𝗿 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲. That genius React app with a Spanish README? Invisible to 90% of global companies. Your code might be perfect, but presentation kills opportunities. ✅ 𝗔 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝘁𝗵𝗮𝘁 𝘀𝗰𝗿𝗲𝗮𝗺𝘀 "𝘀𝗲𝗻𝗶𝗼𝗿 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿." Your profile IS your first impression. If it looks like you copied it from a bootcamp template, you'll get bootcamp-level offers. ✅ 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝘀𝗸𝗶𝗹𝗹𝘀 𝘁𝗵𝗮𝘁 𝗱𝗼𝗻'𝘁 𝘀𝗹𝗼𝘄 𝘁𝗲𝗮𝗺𝘀 𝗱𝗼𝘄𝗻. Remote work lives and dies on written communication. If you can't explain a bug fix clearly, you become the bottleneck everyone avoids. ✅ 𝗧𝗶𝗺𝗲 𝘇𝗼𝗻𝗲 𝗿𝗲𝘀𝗽𝗲𝗰𝘁 𝘁𝗵𝗮𝘁 𝗴𝗼𝗲𝘀 𝗯𝗲𝘆𝗼𝗻𝗱 "𝗜'𝗺 𝗳𝗹𝗲𝘅𝗶𝗯𝗹𝗲." It's not enough to say you'll work US hours. You need systems, boundaries, and habits that prove you can deliver consistently across time zones. The brutal truth? Global jobs don't go to the best coders. They go to developers who signal they're ready for global teams. LATAM devs: which of these is blocking you right now? (And please, be brutally honest.)
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Human Cloud
4K followers
Jose de Cabo flipped the model: → Developers set their own rate. Remotely doesn't touch it. → A fixed, transparent fee goes on top — not a percentage. → Give your developer a raise or bonus? Remotely doesn't get a cut. The second-order effect? The best senior talent flocked to his model. Because the best engineers aren't just choosing based on rate — they're choosing based on respect. Transparent pricing isn't just ethical. It's a competitive moat for attracting top-tier talent. --- 🎧 Listen here: https://lnkd.in/enveyCF4 --- #HumanCloudPodcast #FutureOfWork #TransparentPricing #Staffing #TalentStrategy
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Angularidades
519 followers
Check out the short summary of Angularidades episode #69 with our guest Mauricio Arce Torrez, exploring when and how to apply microfrontends in Angular projects. ✔️ Why Angular doesn't include native microfrontend support ✔️ When organizational complexity justifies this architecture ✔️ Tools for runtime composition in Angular ✔️ How to maintain design consistency and shared UX across distributed teams 📖 Read the summary in English: https://lnkd.in/e2YV4UDS
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GyaanSetu WebDev
591 followers
𝗦𝗲𝗿𝘃𝗲 𝗠𝗮𝗿𝗸𝗱𝗼𝘄𝗻 𝗧𝗼 𝗔𝗜 𝗔𝗴𝗲𝗻𝗍𝘀 Guillermo Rauch shared that Vercel's changelog now serves markdown. This happens when agents request it with a different Accept header. You get the same URL, but a different representation. - HTTP content negotiation works like this: browsers send Accept: text/html, agents send Accept: text/markdown. - This means an entire infrastructure layer is becoming optional for a growing class of consumers. You can add this to your blog. For example, in Hugo, you add this config: - page = ['HTML', 'MARKDOWN'] - baseName = 'index' - mediaType = 'text/markdown' - isPlainText = true You can test this with a curl command. Your posts can go from ~20kb HTML to ~2kb markdown. This is a 10x reduction. You maintain two output formats. For static sites, this is easy. For dynamic content, it's harder. You need to generate markdown server-side or maintain parallel content. Agent traffic is growing. Lightweight content gives agents cleaner context and burns fewer tokens. The visual web was designed for humans. The agent web does not need decoration. Source: https://lnkd.in/dr3Ztn5s
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Javier Guilarte
MagicPod • 4K followers
Your tests break every sprint because a developer changed a button ID. You spend more time fixing tests than writing new ones. This is why many automation efforts fail. In 2025, we prioritized enhancing MagicPod's AI self-healing to automatically detect UI changes and fix broken tests, all without human intervention. When your "Submit" button becomes "submit-btn-v2," the test just… keeps working. The real cost of automation isn't the initial build. It's the maintenance burden that kills projects six months in. Teams abandon frameworks because the upkeep becomes unsustainable. MagicPod's AI analyzes visual and structural changes, updates locators intelligently, and gives you one-click approval for fixes. The result? Tests that evolve with your application instead of breaking against it. Maintenance shouldn't be a full-time job. How much time did your team spend last year fixing broken selectors and tests? learn more: https://lnkd.in/ekS4F2YA
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Hadisur Rahman
Devxhub • 19K followers
Your Roadmap is Full. Deadlines are Approaching. Hiring won’t Move Fast Enough. This is where staff augmentation makes sense. Instead of waiting months to build a team, you extend your delivery capacity with ready engineers who plug into your workflow and ship to your standards. You keep ownership of scope, priorities, and decisions. What makes it work • Clear product ownership • Defined requirements and success criteria • Strong communication and delivery reporting What breaks it • Vague scope • No decision owner • Weak execution governance It’s not staff augmentation versus hiring. It’s about how much capacity you need, how fast, and for how long. #ITStaffAugmentation #TechLeadership #TeamScaling #ProductDelivery #SoftwareDevelopment #StartupGrowth #DigitalTransformation #AI
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Zartis
75K followers
🧼 Writing clean code in Angular isn't just about prettier files. It's about performance, scalability, and future-proofing your app. In our latest tech blog, our frontend expert and Sr. Software Engineer, Mauricio Mage shares practical ways to apply SOLID principles, embrace reactive patterns, and leverage Angular’s latest features like Signals for cleaner, more maintainable code. Whether you're building a new Angular project or refactoring legacy code, this is a must-read. 📖 Dive in: Writing Clean Code in Angular: https://lnkd.in/dcEYBSyg #Angular #CleanCode #SoftwareEngineering #Frontend #WebDevelopment #ZartisTechInsights #TeamZartis
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Kevin Julián M.
Orbitant • 872 followers
A good read from Sabrina Fernández Zambrano on how to get better results when using AI in frontend development. AI tools are powerful, but the quality of the output still depends a lot on how we guide them. Prompt refinement, iteration, and clear constraints make a big difference. If you're using AI in your frontend workflow, this article has some useful insights. https://lnkd.in/epVtbiZU
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Dan Neciu
Rover.com • 12K followers
🚨 New episode of Señors @ Scale live! Trailer below 👇 🎙 Rails at Scale with Adrian Marin 🥑, founder of Avo and host of FriendlyRB This one’s for Rubyists, Rails engineers, and anyone curious about why Rails still powers serious products in 2025. Adrian Marin has been: 💻 A non-technical grad turned developer, breaking into programming through side projects 🛠 The founder of AVO, a toolkit that makes building Rails admin panels as smooth as Laravel Nova 🌍 A community builder, running the FriendlyRB conference and even inventing a Ruby Passport for attendees In this episode, we cover: ⚡ Why Rails is still the fastest way to go from idea to product (Adrian built a whole app on a 10-hour flight) 🧩 What makes Ruby unique — from metaprogramming to the fact that even nil is an object 🛠 How Hotwire changes frontend development by shipping HTML instead of JSON 🔑 Why Tailwind CSS clicked for Adrian and how it fits into Rails workflows 🌱 The importance of community, conferences, and building weird but memorable traditions 🎧 Listen now: ▶️ YouTube: https://lnkd.in/dqxCewdK 🎧 Spotify: https://lnkd.in/dJe-dHFr 🍏 Apple: https://lnkd.in/dbdCuuCf 📬 Newsletter: https://lnkd.in/d3cUAzpJ #rubyonrails #rails #ruby #softwaredevelopment #hotwire #tailwindcss #avo #engineeringculture #developercommunity #webdevelopment #señorsatscale
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VICTOR ABA
Whealve Technology Limited • 4K followers
Hot take 🔥: Most React apps don’t actually have performance problems. They have perceived performance problems. I see developers: • obsess over useMemo and useCallback • refactor perfectly fine components • add memoization everywhere • optimize before measuring anything Meanwhile: • the real bottleneck is an API call • images aren’t optimized • unnecessary network requests exist • large lists aren’t virtualized • users don’t even notice the “problem” React performance should be handled like this: 1️⃣ Measure first (Profiler, DevTools) 2️⃣ Fix real bottlenecks 3️⃣ Optimize what users feel, not what looks bad in code Premature optimization doesn’t make apps faster. It just makes code harder to reason about. 💬 Question: What’s the most unnecessary optimization you’ve ever added to a React app? #ReactJS #FrontendDevelopment #WebDev #Performance #JavaScript #SoftwareEngineering
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Unblocked
5K followers
When RB Global Inc. brought an externally-managed platform in house, the team had to understand how everything fit together fast. With Unblocked, engineers could find answers and get AI code review comments grounded in their code, docs, and history without digging through months of old PRs and Slack threads. Pedro Fernandez, Engineering Manager for the Delivery Infrastructure Platforms team, explains how that access to context helped them ramp faster and make better technical decisions. More on how Unblocked’s context engine helped RB Global cut a 6-month platform transition down to 3: https://lnkd.in/gy6c5u88
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