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Driving Innovation and accelerating growth through AI-Augmented Tech Leadership.
Agentic SystemsEvalsDistributed APIsDeveloper Platforms
I'm Sébastien, aka Plopix, I live in California, and I come from France. I am a passionate technologist, architect, and problem-solver who has gone all-in on AI: I build agentic systems that run in production, and I develop with agents every day. With a deep focus on scalability, performance, and system architecture, I orchestrate agentic workflows that multiply engineering output — combining agents, custom skills, MCP servers, and CLI tools to push the boundaries of what a team can ship.
This is my space to share my experience, projects, and thoughts on AI-driven engineering and the ever-evolving tech landscape. Welcome!
Contact me about CrystallizeAI Workflow & Tooling
$ orchestrate --agents x35
CMUX managing shells · custom RALPH loop orchestrated via a custom Bun binary
All agents running in parallel...
$ graph run prd.json
plan ─┬─ api ───┐
├─ ui ────┼─ review ↺
└─ tests ─┘ │
└─ human ─ merge$ evals run --all
- ✓time-capsule/moderationmodel A/B
- ✓miape/exercise-genquality
2 suites passed
$ tail -f claudette.log
- #supportcustomer question answered
- prodissue debugged
- bugstriaged → PR opened
- docspage updated
Graph Engineering
Agent pipelines designed as graphs: planner, parallel workers and reviewer nodes with shared state, branching, retries and human checkpoints.
Custom Skills
Authored agent skills like a /write-a-prd that generates structured PRD.json file for automated implementation.
MCP Servers & CLI Tools
Remote MCP servers to extend agent capabilities and CLI tools to streamline agentic workflows.
Plugins
Custom notification plugins that alert me when agents need attention, complete tasks, or hit blockers.
Git Worktree Integration
Agents work in isolated Git worktrees, enabling parallel development without branch conflicts.
Operating as an AI-augmented engineering team — shipping faster, with higher quality, across more fronts.
Latest publications
Inside Claudette, the internal AI engineer that lives in the Crystallize Slack: it reads our private codebase, investigates production problems, turns conversations into plans and plans into draft pull requests, and checks our documentation against the code. And the security model behind it (OS-level sandboxing, credentials the model can never read, read-only access enforced at the provider) that keeps your data and our code where they belong.
The article is a practical guide on how to build a Service API (also described as an integration or middleware/service layer) using Crystallize (a headless commerce and PIM-type tool) with modern JavaScript/TypeScript tooling… and, if I'm being honest, it is the one that is long overdue.
Server-side Rendering, Static Site Generation, Client-side Rendering. CSR with Prerendering, Progressive Hydration, Partial Pre rendering, etc. The differences, trade-offs, and similarities between most common web rendering solutions and why you should care about them as a developer.
Explore the Crystallize's Subscription API, how it works, and its benefits and differences from some competitors.
Latest talks & livestreams
Beyond Chat: When AI streams React components! Your cart has ideas!
React Norway 2026
Rockefeller Oslo, Norway2026-06-05
Most AI integrations stop at text. What happens when you give an LLM capabilities to stream UI? In this live demo, we'll see an AI- augmented checkout where recommendations and cart analysis arrive as real React components — streamed, data - bound, and wired with actions.The LLM doesn't just suggest: it renders.
See how the Crystallize MCP Server connects your Crystallize tenant directly to AI coding tools like Claude, Cursor, GitHub Copilot, and any MCP-compatible client.
They asked Grok to scrap my life and questions about my career, my work and my life.
We built a MCP server with tools to be able to list and register to an event from any MCP Client!
The Service Bus that you needed Fully-typed Service Bus for Node.js fueled by fancy Middlewares, Envelopes and Stamps.
A CLI that runs your scripts and exposes them as tools through a built-in, extensible MCP server.
Some stats
Here are some stats about my contributions, coding habits and more...
Github activity
Chess.com activity
Other activities
Badges!
We all want to show off our achievements, right? Here are some badges I earned over the years.
