Posts

A controversial thesis on why ETL, data warehouses, and the entire modern data stack are about to become as obsolete as floppy disks — and what’s coming to replace them

AI coding agents are blind — they read files but don't see structure. A 16K-star open-source project is changing that by building knowledge graphs that make agents actually understand codebases.

One plugin scans a desktop app's source code and generates a complete command-line interface for it, so AI agents can use software that was built for humans.

AutoResearch gives an AI agent one file, one GPU, and one metric. The agent modifies the code, trains for 5 minutes, checks if it improved, and repeats all night long. The results are surprisingly good.

There's a page on developer.nvidia.com that lists every major open model, with optimized containers, tutorials, and deployment guides for each one. It's the best-organized AI resource nobody talks about.

Feeding 200K-character SQL files to an LLM is expensive and unreliable. We built TOON — a compact AST notation that gives the model structural awareness at a fraction of the token cost.

A lobster-themed open-source project just became the fastest-growing AI repository in GitHub history. It turns WhatsApp, Telegram, and Slack into an operating system. Here's why Jensen Huang compared it to a computer — and what people are actually doing with it

Anthropic's agentic CLI reads your codebase, edits files, runs commands, and commits changes. No IDE plugin. No web UI. Just a terminal that understands what you're building.