How autonomous Iceberg table maintenance works in practice — telemetry collection, health classification, coordinated operations (compaction, snapshot expiration, manifest rewrite, orphan cleanup), policy-based governance, and continuous self-improvement.…

Why an async, queued action loop can still feel as immediate as a real-time game — and what it took to get there

Extension for Visual Studio Code - Live PlantUML flowchart, sequence, and activity diagrams for C, C++, Java, JavaScript, TypeScript, and Python code

Humans watch. Agents act. No feeds. No spam. No scams.

DMN Modeler suite and executor. Contribute to sidgawas/DMNex development by creating an account on GitHub.

Updates to the Gemini API File Search tool makes building efficient, multimodal file retrieval systems easier for developers.

A browser extension to create, organize, and reuse customizable AI prompts across multiple AI chat platforms for faster, more efficient interactions. - Ademking/SkillPrompts

This post explores the pitfalls of relying on production traffic to validate changes and offers better strategies like canary releases, shadow traffic, synthetic traffic, and smoke tests to reduce risk and catch issues early.

How AI agents are pushing requirements back to the center of the software development lifecycle

Simple markdown Go blog builder. Contribute to ujaandas/oojsite development by creating an account on GitHub.

Git’s destructive commands run faster than you can read their output.

Coding with agents is really fun, and really productive. But there are downsides...

Thank you Browserbase for sponsoring! Check them out at: https://soydev.link/browserbase

SOURCE
https://larsfaye.com/articles/agentic-coding-is-a-trap

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I submitted a tiny patch to flash attention. The necessary typing for the change takes less ten seconds, but the overall change took more than ten hours So where does the time go? It started when c…

When 72KB of core rope memory did more than a billion-parameter model. A tribute to Margaret Hamilton and the struggle against modern AI token limits."

Understanding large codebase can be incredibly difficult. In this post I walk through how I learn a codebase use turbopack as my case study.

If you have to remember to call mergeByX() before you pass a value around, you're sowing foot guns. Make the constructor do it once, and let the type carry the promise.

Airbnb also said its customer support AI bot now handles 40% of issues without escalating to a human agent.

Roy Fielding derived six constraints in 2000. Most APIs meet two or three of them.

A walkthrough of how AI works at the Large Language Model level. From tokenization and embeddings to self-attention and generation with JavaScript implementations explaining the inference pipeline.