Navigation of articles about PostgreSQL development, administration, principles, ecosystem, tools, architecture design, performance optimization, troubleshooting, and more.

The database world is full of hype and marketing fog. This column cuts through it with blunt commentary, case studies, and technical deep dives.

A whole generation of developers has been told “cloud-first.” This column collects data, case studies, and commentary on the real economics—and traps—of public cloud rental models.

Tencent Cloud mirrored OpenClaw’s official skill marketplace into its own SkillHub and then claimed it was helping the upstream project. The incident turned into a case study in open-source manners, mirror ethics, and platform power.

InsForge tries to package PostgreSQL, auth, storage, deployment, and an MCP-facing semantic layer into a backend stack designed for AI agents. It feels like a Supabase rebuilt for the vibe-coding era.

A Socratic dialogue between a human and an AI about consciousness, memory, embodiment, and the difference between being smart and actually living through time.

The biggest AI arbitrage available to ordinary users is not some obscure token play. It is the heavily subsidized max-tier subscription plans from frontier model vendors, provided you can convert that quota into real output.

I asked Claude to write a short semi-realistic, semi-mythic story about mind uploading, orbital ascension, and the rebirth of gods. I suspect the premise is less absurd than it sounds.

OpenClaw looks exciting because it turns agents into a chat-style experience. But the real productivity gains come from high-capability subscription agents and disciplined workflows, not from lobster-flavored wrappers.

Apple opened preorders for the M5 Max and I immediately maxed one out at RMB 58,200. This is less a consumer electronics post than a look at what an AI-era personal workstation is becoming.

Qwen lead Justin Lin publicly announced his departure, followed by more core-team exits and a wave of speculation about compute allocation, KPI pressure, and organizational power shifts inside Alibaba.

Claude went down globally on March 2, 2026. The cinematic theory blamed drone strikes on AWS in the Middle East, but the failure pattern points much more strongly to a front-end and authentication crunch triggered by explosive user growth.

On March 1, 2026, Iranian drones reportedly hit AWS facilities in the UAE and Bahrain. If the reporting is accurate, this may be the first public case of a hyperscale cloud provider suffering direct military damage to data-center infrastructure.

Harness the superpower of 12 PostgreSQL kernels in one stack: Babelfish, AgensGraph, pgEdge, OriolePG, OpenHalo, Cloudberry, and more.

Over roughly ten days during Spring Festival, I used Claude Code, Codex, and a pile of workflows to translate books, ship releases, package software, refresh websites, and keep publishing daily. This is what solo output looks like when agent leverage really lands.

A thought experiment written from the vantage point of 2028, modeling what happens when AI collapses the scarcity premium on human intelligence and that shock propagates into labor, credit, housing, and politics.

A migration case with only a JAR and no source code shows why Oracle syntax compatibility is not always a fake requirement, and how IvorySQL + Pigsty can absorb legacy debt at low cost.

Ontology is largely a data-modeling method. In enterprise practice, much of it overlaps with familiar database concepts, while the framing can make it feel newer and more differentiated than it really is.

MinIO’s repo is officially archived and abandoned. And how AI Agents helped bring it back from the dead. This post explains how a community fork restores the admin console and ships binaries via CI/CD pipeline.

Same-day production support for PG 18.2 is the core message of Pigsty v4.1. In this cycle, very few vendors shipped day-zero readiness: AWS RDS, EDB, and Pigsty were among them.

Codex 5.3 xHigh pushed my workflow past a tipping point: writing code is no longer the scarce resource. The real leverage is design quality and engineering acceptance. This is the practical loop I use to ship reliable software with AI agents.

A mediocre local who knows the terrain beats a genius parachuted into unknown territory. Intelligence without context is idle. An agent without a runtime is vapor.

Software stocks are melting down. Who survives? Who rises? AI stripped away software’s skin, exposing the database skeleton underneath. The market isn’t panic-selling — it’s repricing.

Should we still hire fresh grads? Squeezed between AI and senior devs, what’s the play for new programmers? Master the right tools, take initiative, find the right mentor.