At its core, Web3 refers to the third generation of the internet, building on the foundations of Web1 (static web) and Web2 (interactive and social web). Unlike its predecessors, Web3 focuses on decentralization by leveraging blockchain technology and smart contracts.

Key characteristics of Web3 include:

Decentralization:

No central authority owns or controls the data or platforms.

Planning to create a web3 mobile app? Take a look at our detailed blog to learn what you should know before starting out or book a free consultation call with us

Before diving into the next section, ensure you’re solid on full-stack development essentials like front-end frameworks, back-end technologies, and database management. If you are looking for a detailed Full Stack Development career program, you can join HCL GUVI’s Full Stack Web Development Course with placement assistance. You will be able to master the MERN stack (MongoDB, Express.js, React, Node.js) and build real-life projects.

Additionally, if you want to explore JavaScript through a self-paced course, try HCL GUVI’s JavaScript certification course.

1. Oracle

Oracle is the most widely used database management system written in assembly languages, C, C++, and Java. It is also considered the most popular database because of its cost-optimizing and high-performing features. It supports SQL (Structured Query Language) to interact with the database.

The latest version of Oracle is 21C, which has wide-ranging capabilities like multi-workload improvement with AutoML. Some of its benefits include less space-taking ability, processing of data faster, reduced risk factors, and it also has features like JSON from SQL.

2. MySQL

Another best database management system that software developers use is MySQL(written in C and C++), which is again the most popular among developers. MySQL is an open-source RDBMS (Relational Database Management System) that comes with advanced features.

It is mainly focused on the web development domain due to its stable, robust, and mature nature. According to a survey, MySQL is used by 56% of developers, and top companies like Google, Facebook, and many more use MySQL. It also supports ACID (Atomicity, Consistency, Isolation, and Durability), making it more reliable. This is an important factor to consider for offshore developers or remote developers in general, who may not always have immediate support from a team

I get asked this question almost daily. At LangChain, we build tools to help developers build LLM applications, especially those that act as a reasoning engines and interact with external sources of data and computation. This includes systems that are commonly referred to as “agents”.

Everyone seems to have a slightly different definition of what an AI agent is. My definition is perhaps more technical than most:

An AI agent is a system that uses an LLM to decide the control flow of an application.

Even here, I’ll admit that my definition is not perfect. People often think of agents as advanced, autonomous, and human-like — but what about a simple system where an LLM routes between two different paths? This fits my technical definition, but not the common perception of what an agent should be capable of. It’s hard to define exactly what an agent is!

That’s why I really liked Andrew Ng’s tweet last week. In it he suggests that “rather than arguing over which work to include or exclude as being a true AI agent, we can acknowledge that there are different degrees to which systems can be agentic.” Just like autonomous vehicles, for example, have levels of autonomy, we can also view AI agent capabilities as a spectrum. I really agree with this viewpoint and I think Andrew expressed it nicely. In the future, when I get asked about what an agent is, I will instead turn the conversation to discuss what it means to be “agentic”.

What does it mean to be agentic?

I gave a TED talk last year about LLM systems and used the slide below to talk about the different levels of autonomy present in LLM applications.

A system is more “agentic” the more an LLM decides how the system can behave.

Using an LLM to route inputs into a particular downstream workflow has some small amount of “agentic” behavior. This would fall into the Router category in the above diagram.

If you do use multiple LLMs to do multiple routing steps? This would be somewhere between Router and State Machine.

If one of those steps is then determining whether to continue or finish – effectively allowing the system to run in a loop until finished? That would fall into State Machine.

If the system is building tools, remembering those, and then taking those in future steps? That is similar to what the Voyager paper implemented, and is incredibly agentic, falling into the higher Autonomous Agent category.

These definitions of “agentic” are still pretty technical. I prefer the more technical definition of “agentic” because I think it’s useful when designing and describing LLM systems.

Why is “agentic” a helpful concept?

As with all concepts, it’s worth asking why we even need the concept of “agentic”. What does it help with?

Having an idea of how agentic your system can guide your decision-making during the development process – including building it, running it, interacting with it, evaluating it, and even monitoring it.

The more agentic your system is, the more an orchestration framework will help. If you are designing a complex agentic system, having a framework with the right abstractions for thinking about these concepts can enable faster development. This framework should have first-class support for branching logic and cycles.

The more agentic your system is, the harder it is to run. It will be more and more complex, having some tasks that will take a long time to complete. This means you will want to run jobs as background runs. This also means you want durable execution to handle any errors that occur halfway through.

The more agentic your system is, the more you will want to interact with it while it’s running. You’ll want the ability to observe what is going on inside, since the exact steps taken may not be known ahead of time. You’ll want the ability to modify the state or instructions of the agent at a particular point in time, to nudge it back on track if it’s deviating from the intended path.

The more agentic your system is, the more you will want an evaluation framework built for these types of applications. You’ll want to run evals multiple times, since there is compounding amount of randomness. You’ll want the ability to test not only the final output but also the intermediate steps to test how efficient the agent is behaving.

The more agentic your system is, the more you will want a new type of monitoring framework. You’ll want the ability to drill down into all the steps an agent takes. You’ll also want the ability to query for runs based on steps an agent takes.

Understanding and leveraging the spectrum of agentic capabilities in your system can improve the efficiency and robustness of your development process.

Agentic is new

One thing that I often think about is what is actually new in all this craze. Do we need new tooling and new infrastructure for the LLM applications people are building? Or will generic tools and infrastructure from pre-LLM days suffice?

To me, the more agentic your application is, the more critical it is to have new tooling and infrastructure. That’s exactly what motivated us to build LangGraph, the agent orchestrator to help with building, running, and interacting with agents, and LangSmith, the testing and observability platform for LLM apps. As we move further on the agentic spectrum, the entire ecosystem of supportive tooling needs to be reimagined.

Understanding Solana

Solana is a high-performance blockchain designed to support decentralized applications (dApps) and crypto projects. It utilizes a unique consensus mechanism called Proof of History (PoH) combined with Proof of Stake (PoS), which significantly enhances its transaction speed and overall efficiency. This innovative approach allows Solana to process thousands of transactions per second (TPS), making it one of the fastest blockchains available today.

Key Features of Solana

1. Speed: Solana can handle approximately 65,000 TPS, which is dramatically higher than many other blockchains like Ethereum, which typically processes between 15–45 TPS. This speed is crucial for applications requiring real-time data processing and quick transaction confirmations.

2. Scalability: The architecture of Solana allows it to scale without compromising performance. As the network grows, it can maintain high throughput by adding more nodes, ensuring that it can handle increased demand without slowing down.

3. Security: Security is paramount in blockchain technology. Solana’s network is validated by thousands of independent nodes, which enhances its resistance to attacks and ensures data integrity.

The Importance of Speed in Blockchain

In today’s fast-paced digital economy, speed is essential for user satisfaction and operational efficiency. Businesses that rely on real-time transactions — such as financial services, gaming, and supply chain management — benefit significantly from a blockchain that can process transactions quickly.

Solana’s rapid transaction speeds allow businesses to build applications that require instant interactions. For instance, in decentralized finance (DeFi), users can execute trades or swaps almost instantaneously, which is vital for maintaining competitive advantage in volatile markets.

Scalability: A Game Changer for Businesses

Scalability refers to a blockchain’s ability to grow and accommodate increasing numbers of transactions without performance degradation. Traditional blockchains often face challenges when scaling due to their architecture and consensus mechanisms.

Solana’s innovative design allows it to scale efficiently. Its ability to handle thousands of transactions simultaneously means that businesses can grow their user base without worrying about network congestion or high transaction fees. This feature makes Solana particularly appealing for startups and enterprises looking to launch large-scale applications.

Real-World Applications

1. Decentralized Finance (DeFi): Solana has become a popular choice for DeFi applications due to its speed and low transaction costs. Platforms built on Solana can offer users quick access to lending, borrowing, and trading services.

2. Non-Fungible Tokens (NFTs): The NFT marketplace has exploded in popularity, and Solana provides a robust platform for minting and trading NFTs at a fraction of the cost compared to Ethereum-based platforms.

3. Gaming: With the rise of play-to-earn models, gaming platforms built on Solana can offer seamless experiences with minimal latency, attracting more players.

Security Considerations in Blockchain Development

Security remains a critical concern for any business considering blockchain technology. The decentralized nature of blockchains inherently provides some level of security; however, additional measures are necessary to protect against vulnerabilities.

Solana’s architecture includes several layers of security:
Decentralization: The network’s validation by numerous independent nodes reduces the risk of central points of failure.
Smart Contract Audits: Businesses developing on Solana should prioritize smart contract audits to identify potential vulnerabilities before deployment.
Community Support: A strong developer community contributes to ongoing security improvements and updates.

Cost Efficiency: A Competitive Advantage

One significant advantage of using Solana is its low transaction fees. With an average cost per transaction around $0.000025, businesses can operate at lower overheads compared to other platforms where fees can escalate quickly during peak times. This cost efficiency allows companies to allocate resources more effectively while scaling their operations.

What makes Solana’s speed and scalability stand out compared to other blockchains

Solana’s speed and scalability set it apart from other blockchains, making it an attractive option for developers and businesses. Here are the key factors that contribute to Solana’s exceptional performance:

Unique Consensus Mechanism: Proof of History (PoH)

Solana employs a groundbreaking consensus mechanism known as Proof of History (PoH), which enhances transaction processing efficiency. Unlike traditional blockchains that rely solely on Proof of Work (PoW) or Proof of Stake (PoS), PoH timestamps transactions before they are included in a block. This method allows validators to order transactions without complex calculations, significantly reducing the time needed for transaction validation and increasing throughput.

High Transaction Throughput

Solana can process up to 65,000 transactions per second (TPS), far exceeding the capabilities of many other blockchains like Ethereum, which typically handles between 15 and 45 TPS. This high throughput is achieved through several mechanisms:

Parallel Processing: Solana’s architecture allows multiple transactions to be processed simultaneously, rather than sequentially. This parallelization is facilitated by the Sealevel runtime, which enables concurrent execution of smart contracts.
Block Generation Speed: Solana generates a new block approximately every 400 milliseconds, allowing for rapid transaction confirmations and minimal latency.

Low Transaction Costs

The efficiency of Solana’s consensus mechanism translates into extremely low transaction fees, averaging around $0.000025 per transaction. This cost-effectiveness makes Solana particularly appealing for applications that require high transaction volumes, such as decentralized finance (DeFi) platforms and non-fungible token (NFT) marketplaces.

Energy Efficiency

In an era where environmental sustainability is crucial, Solana’s design is energy-efficient compared to traditional blockchains that rely on energy-intensive PoW mechanisms. The PoH consensus does not require significant computational power, resulting in lower energy consumption and a reduced carbon footprint.

Advanced Network Architecture

Solana’s architecture incorporates several features that enhance its scalability:

Gulf Stream: This mempool management system allows transactions to be executed before they are finalized by validators, reducing wait times and minimizing network congestion.
Horizontal Scaling: Solana’s infrastructure supports horizontal scaling, enabling the network to handle increasing loads without degradation in performance. This adaptability is crucial for maintaining high throughput as user demand grows.

Robust Ecosystem

The growing ecosystem surrounding Solana further enhances its appeal. With a multitude of decentralized applications (dApps) being developed across various sectors — including finance, gaming, and digital assets — Solana has established itself as a versatile platform that can support diverse use cases while maintaining speed and scalability.

Solana stands out as a promising blockchain platform due to its exceptional speed, scalability, and security features. As businesses look toward adopting blockchain solutions, understanding these attributes becomes essential in making informed decisions about development platforms.