Running multiple projects in parallel with AI agents produces a counter-intuitive effect: without a compounding infrastructure, every run starts from zero. Memory stays local to the project, discovered patterns don't migrate, and cadence depends entirely on human availability. What follows describes the infrastructure that solves this problem — and why regularity is its primary condition.
...We've all been there: you pull an image, run docker images, and see a 1.2GB monster staring back at you. That's not just disk space wasted; it's slower pulls, slower deploys, and a larger attack surface. The usual suspects? Base images with unnecessary tools, build dependencies left behind, and layers that contain temp files or caches...
Originally published on tamiz.pro.
The modern developer tooling landscape is undergoing a quiet but profound philosophical shift. For years, the dominant paradigm was abstraction-heavy: high-level languages, managed runtimes, and dynamic scripting environments that...
The v0.0.2 release of Knowledge-and-Memory-Management is exactly what a clean release should look like: no leftover personal paths, no hardcoded /home/you/ dangling in the config, and a clear split between knowledge collection and memory management. If you've been following the 0.0.x line, this is the release where the tool finally becomes portable across machines and agents. Here'...
Pick a chatbot gateway that exposes one chat API behind one key and lets you change models with a string — then keep the fallback ladder in your own code, where you can test it.
That's the whole answer. Everything below is how I got there.
I ship RAG and agent features in Python for a mid-size SaaS product, and our in-app chatbot has been through three routing d...
If you've spent time customizing Claude Code, you've probably written a line like this in your CLAUDE.md: "always run the formatter after editing a file" or "never touch .env or any .pem/.key file." It works — until a long session, a big diff, or a context window full of other instructions makes that one line easy to deprioritize. The model is...