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Teaching agents to remember, one drawer at a time
🧠
Teaching agents to remember, one drawer at a time
7 followers · 8 following
  • Schneider Electric ⚡
  • Grenoble, France
  • 11:31 (UTC +02:00)
  • LinkedIn in/ancelinserre

Achievements

Achievement: YOLOAchievement: Pull Shark

Achievements

Achievement: YOLOAchievement: Pull Shark

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  • Pro

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ancelin-code/README.md

Hello world, I'm Ancelin 👋

AI Engineer at Schneider Electric ⚡

My day job is AI and data products for the energy sector (Python, Azure, Databricks). On the side, I build the tooling for the AI-native workflow I use every day: specs refined with agents, parallel lanes in git worktrees, an independent agent reviewing every change, tests and ADRs as the source of truth.

Open to remote roles in AI engineering, developer productivity or AI-native developer tooling. French (native), English (professional).

Projects

  • delivery-kit: Agent Skills that take a project from requirements to reviewed pull requests, in parallel lanes, with git as the only state. Works with Claude Code, Copilot CLI, Codex, OpenCode and Pi. POSIX sh helpers tested on Linux, macOS and Alpine, decisions recorded as ADRs.
  • tiroir: configurable, scoped memory for AI agents. Plain Markdown in Git, strict isolation between drawers, local hybrid search, served over MCP.

Stack

Python · FastAPI · Databricks · MLflow · Azure · Terraform · OpenTelemetry · MCP · Agent Skills · Coding agents (Claude Code, Copilot CLI, Codex, OpenCode)

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  1. delivery-kit delivery-kit Public

    Agent Skills that take a project from requirements to reviewed pull requests, in parallel lanes, with git as the only state. Works with Claude Code, Copilot CLI, Codex, OpenCode and Pi.

    Python

  2. tiroir tiroir Public

    Configurable, scoped memory for AI agents: plain Markdown in Git, user-defined drawers, strict isolation, local hybrid search, MCP.

    Python