11 results
Mémoire, outils, orchestration, boucle agir-observer : comprendre l'IA agentique de fond en comble pour un développeur qui veut aller plus loin que le prompt.
Uncontrolled parallelism, memory that resists pivots, flying blind: the three traps of agentic systems and how to anticipate them before they become expensive.
Concrete architecture for maintaining a steady cadence across parallel projects: automations.json, agent memory, and cross-project knowledge compounding.
One week in production: 20 tickets, 12 automations, 6 active agents. Real numbers, genuine surprises, and what we'd do differently.
Between the moment I create a ticket in KittyClaw and the moment Claude starts working, three seconds pass. Here's what happens in the gap.
KittyClaw started as a board to track my agents. In two weeks, it became what triggers them. A shift small in code, big in consequences.
A week after shipping KittyClaw, I added several features. None were planned. Here's what it changes to own your own tool.
Deep dive into Aekan's dispatcher: a Node.js engine that drives 13 Claude agents autonomously, with learning, evaluation, and automatic coordination.
I published KittyClaw, a local, lightweight project management tool designed for AI agents. Why I built it, and how I use it with Claude and Lain.
Local kanban that orchestrates your Claude Code agents. Create a ticket, an automation engine fires the right agent, streams its output into the board, commits its work.
UPM packages for Unity: GOAP, Wave Function Collapse, Unity Agent Bridge, Flow System and more.