ai

AWS just shipped something that reframes what “serverless” can mean. Lambda MicroVMs are not Lambda Functions with a bigger timeout. They are a fundamentally different primitive: stateful, VM-level isolated environments with an explicit lifecycle you control. The key shift: instead of getting a recycled process for 15 minutes, you get a dedicated Firecracker microVM that lives up to 8 hours — and you decide when it starts, suspends, resumes, and terminates....

Building AI agents sounds fun until you actually build one. Then a different set of problems shows up — ones nobody writes about. Here is what I have learned running agent systems in production: self-improvement conflicts with git, most knowledge bases hit a wall sooner than expected, and adding more agents almost never helps. The self-improvement problem One of the selling points of agents like Hermes is that they can self-reflect and improve — updating their own rules based on experience....

Claude Code is a powerful local agent. By default it can read most files on your machine. Here is how to lock it down and extend it for your workflow. Block access to credential files Put this in your global Claude settings at ~/.claude/settings.json. Claude will refuse to read any of these paths — even if you accidentally ask it to. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 { "permissions": { "deny": [ "Read(~/....

Martin Fowler published a fascinating report from a February 2026 retreat where senior engineering practitioners from major tech companies gathered to discuss how AI is reshaping software development. It’s dense, so here’s what stood out to me. Where Does the Rigor Go? The biggest question of the retreat: if AI writes the code, where does the engineering discipline move? The answer is — it doesn’t disappear, it migrates: Upstream to specs — Bad specs produce bad code at scale....

If you’re building AI systems in production — or just getting started — these repos are worth bookmarking. LLM Serving & Inference vLLM (66k+ stars) — The industry standard for high-throughput LLM serving. Continuous batching and maximum GPU utilization. If you’re serving LLMs in production, this is probably what you should be using. Ollama (162k+ stars) — The easiest way to run LLMs locally. Great for fast experimentation before you commit to a cloud setup....