AI practitioner since 2017, context/harness engineering specialist. 12 years in tech, ex-CTO/VP Engineering, chose to go back hands-on. AI Founding Engineer @ Méthode Aristote (EdTech + AI)
Direct, kind, energetic. Always 8 projects running.
I write about AI-assisted engineering and keep my guides updated, most weeks bring something new.
- Claude Code Ultimate Guide: the main reference, continuously updated (v3.43.0, 473 quiz questions across 17 categories, 13 whitepapers at 566 pages, 57 recap cards, 166-entry threat database)
- Blog: articles on context engineering, AI-assisted workflows, and real production data (git stats, DORA metrics, honest retrospectives)
If you land here from a guide page or an article, starring the repo is the best way to see when something new ships.
- AI Founding Engineer at Méthode Aristote (TypeScript/Next.js, tRPC, Prisma, AI integration)
- Building and maintaining the Claude Code open-source ecosystem (guide + RTK + 9 other tools)
- Active member of Dev with AI, a French-speaking AI community of ~3,000 people today, aiming to become the reference AI community in France and, eventually, Europe
- Workshops on AI-assisted development for dev teams
- Occasional speaker at conferences, live streams, talks, BBLs and podcasts (media)
- AI enthusiast building in public: 5,000+ stars across my own AI tooling projects, plus core team on RTK (77,000+ stars)
Comprehensive resource for AI-assisted development with Claude Code. Documentation-as-product: 473 quiz questions (17 categories), 13 whitepapers (566 pages, FR+EN), 57 recap cards, threat database with 166 catalogued malicious skills/CVEs. 5,000+ stars · 600+ forks · cc.bruniaux.com
CLI proxy that reduces LLM token consumption by 60-90% on common dev operations. Intercepts Git, GitHub CLI, Cargo, pnpm, Vitest, Playwright, Docker, Kubernetes and compresses output to what actually matters. 77,000+ stars · Core team member & evangelist · rtk-ai.app
Map any GitHub repository's stargazers on an interactive world map. Paste a repo URL, get a live geocoded map with clustering, country stats, and an embeddable badge. Next.js + MapLibre + Neon Postgres. starmapper.bruniaux.com
Choose a route based on the outcome you need. Each project appears once under its primary route; the labels show its secondary angles.
Build & Run · Observe & Improve · Secure & Validate · Learn & Adopt · Research, Discover & Grow
flowchart TB
accTitle: AI engineering ecosystem map
accDescr: Five routes connect the ecosystem hub to all sixteen projects
hub(["AI engineering ecosystem"])
hub --> build_run["01 · Build & Run"]
build_run --> build_run_projects["CC-Copilot Bridge<br/>claude-code-plugins<br/>ctxharness<br/>flow-lean<br/>RTK"]
hub --> observe_improve["02 · Observe & Improve"]
observe_improve --> observe_improve_projects["CCBoard<br/>CC-Sessions<br/>cc-skill-usage"]
hub --> secure_validate["03 · Secure & Validate"]
secure_validate --> secure_validate_projects["agentsec-triage<br/>dep-scope"]
hub --> learn_adopt["04 · Learn & Adopt"]
learn_adopt --> learn_adopt_projects["Claude Code Ultimate Guide<br/>Claude Cowork Guide"]
hub --> research_discover_grow["05 · Research, Discover & Grow"]
research_discover_grow --> research_discover_grow_projects["yt-insights<br/>Google Search Console MCP<br/>StarMapper<br/>github-roast-tpc"]
classDef hub fill:#f97316,color:#111827,stroke:#fb923c,stroke-width:3px
classDef route fill:#1f2937,color:#f9fafb,stroke:#94a3b8,stroke-width:2px
classDef projects fill:#111827,color:#e5e7eb,stroke:#475569
class hub hub
class build_run,observe_improve,secure_validate,learn_adopt,research_discover_grow route
class build_run_projects,observe_improve_projects,secure_validate_projects,learn_adopt_projects,research_discover_grow_projects projects
Project spotlight: cc-skill-usage. It measures real Skill tool calls from local transcripts, so usage reports do not confuse invocations with prose mentions.
Build, connect, and operate agentic workflows.
| Project | Use it when | Format |
|---|---|---|
| CC-Copilot Bridge · ccbridge.bruniaux.com Provider Routing Local AI Context Engineering |
You need to change the model provider behind a Claude Code workflow. | CLI router |
| claude-code-plugins Agent Extensions Workflow Automation Harness |
You want packaged skills, hooks, agents, and workflows instead of copying files manually. | Plugin collection |
| ctxharness Context Engineering Harness Validation |
You need evidence that CLAUDE.md, AGENTS.md, and related context still match the repository. | CLI |
| flow-lean Context Engineering Prompting Token Efficiency |
You want shorter action-first responses without stacking several overlapping skills. | Claude Code skill |
| RTK · rtk-ai.app Context Engineering Token Efficiency Output Control |
Verbose Git, test, build, or infrastructure output consumes too much context. | CLI proxy |
Understand sessions and improve real usage.
| Project | Use it when | Format |
|---|---|---|
| CCBoard · ccboard.bruniaux.com Observability Session Analytics Monitoring |
You need a complete visual overview of sessions, activity, and analytics. | TUI + Web |
| CC-Sessions Session Search Local-first Knowledge Retrieval |
You need a fast zero-dependency CLI for finding prior decisions or commands. | CLI |
| cc-skill-usage Skill Analytics Local-first Observability |
You need to distinguish real Skill tool calls from prose mentions. | CLI |
Reduce risk and verify code or configuration quality.
| Project | Use it when | Format |
|---|---|---|
| agentsec-triage · cc.bruniaux.com Security Supply Chain Validation |
You need a deterministic read-only scanner for a documented campaign or compromise signal. | Security CLI |
| dep-scope · npm Dependency Analysis Code Quality Validation |
You need to find unused package surface, duplicates, or native alternatives. | CLI + MCP |
Choose a learning route for developers or knowledge workers.
| Project | Use it when | Format |
|---|---|---|
| Claude Code Ultimate Guide · cc.bruniaux.com AI Adoption Context Engineering Security |
You need a maintained reference for architecture, workflows, security, and adoption. | Documentation |
| Claude Cowork Guide · cowork.bruniaux.com AI Adoption Knowledge Work Workflows |
Your work centers on documents, research, analysis, or cross-app tasks rather than software delivery. | Documentation |
Turn source material into knowledge, visibility, or discovery.
| Project | Use it when | Format |
|---|---|---|
| yt-insights · PyPI Research Local Corpus Knowledge Extraction |
You need transcripts, structured insights, local search, and repeatable reports from video sources. | CLI |
| Google Search Console MCP · PyPI SEO Analytics Growth |
You need an agent-accessible interface for SEO analysis, indexing, and site diagnostics. | MCP server |
| StarMapper · starmapper.bruniaux.com GitHub Discovery Audience Visualization |
You want an interactive view of repository audience and geographic reach. | Web app |
| github-roast-tpc Profile Audit GitHub SEO |
You want README, recruiter-signal, AI-marker, and profile-visibility feedback from a Claude Code plugin. | Claude Code plugin |
| Logo | URL | Description |
|---|---|---|
|
neon.com | Neon sponsors StarMapper and YT Insights. It provides PostgreSQL infrastructure for StarMapper and supports the future hosted data layer planned for YT Insights. |
- 🔜 🇫🇷 Tronche de Tech, podcast with Mathieu Sanchez (Jul 2026)
- 2026 🇬🇧 Building the StarMapper MCP App @ Alpic - live coding with Frédéric Barthelet
- 2026 🇫🇷 Ce qui t'ouvre les portes des top startups @ GitHub with AI (live)
- 2026 🇫🇷 Tokens : le nouveau cloud waste @ Tech Ready Nantes (talk)
- 2026 🇫🇷 Adoption des agents de code : bonnes pratiques IA @ Tech Ready Nantes (roundtable)
- 2026 🇫🇷 Context Rot : optimiser son context engineering @ NextLevelRun (live)
- 2026 🇫🇷 Une équipe produit qui shippe avec l'IA with Terry Michel @ Just a Click (podcast)
- 2026 🇫🇷 De CTO avec 30 devs à Solo Engineer boosté à l'IA, GitHub Roast @ The Product Crew (live, source of the github-roast-tpc plugin)
- 2026 🇫🇷 7 mois, 1200 commits, 600 PRs, 50 releases @ Dev with AI (live)
Context Engineering (6-part series)
- 1/6 · The Same Model, Opposite Results: Context Is the Variable
- 2/6 · The CLAUDE.md That Doesn't Lie After Three Months
- 3/6 · Four Layers, Not a Ranking: Mapping the Token-Reduction Toolbox
- 4/6 · Context Engineering Became a Job Title. So Did Four Others
- 5/6 · The AI Instruction System Is a Product, Not a Config File
- 6/6 · Don't Build Your Moat on One Vendor's Runtime
Standalone
- Jun 2026 · Claude Is My Second Contributor: What Real Git Stats Show
- May 2026 · Claude Code Under the Hood
- Apr 2026 · Where to Start with Claude Code
- Apr 2026 · From Afterthought to Infrastructure: How AI Config Evolves in a Real Project
- Mar 2026 · AI Velocity Is Bidirectional
- Mar 2026 · Non-Technical to Production in 10 Days with Cursor AI
- Feb 2026 · UVAL: The Protocol I Built to Stop Accepting Code I Don't Understand
- Feb 2026 · From VP Engineering to Solo Builder: My Honest Take
AI since 2017: NLP and predictive ML in production at Q°emotion and eXplain (semantic search, sentiment scoring, ~30M articles processed). Generative and agentic AI daily since 2025.
12+ years: Developer → Team Lead → EM → VP Engineering → CTO → back to hands-on by choice.
Why hands-on? After a decade leading teams (4-150 people, managed up to 30 engineers), I deliberately stepped back to sharpen my technical edge. Leadership is more effective when grounded in current engineering reality. In the first 3 months of 2026, that bet produced 10+ open-source projects, 5,000+ stars on my own, plus core contributions to RTK (77,000+ stars).
Leadership experience:
- Built and scaled engineering teams from scratch (early-stage → Series A → scale-up)
- Shaped engineering culture, processes, hiring, mentorship
- Led across SaaS, E-commerce, Data, EdTech domains
Tech:
- Stack: TypeScript (Next.js 14+, Nest.js, tRPC), Rust, Ruby (Rails), Python, SQL/NoSQL
- AI: Claude, GPT, MCP server development, agentic workflows. NLP/ML since 2017 (Elasticsearch, spaCy, Gensim)
- Infra: AWS, GCP, Vercel, Docker, Kubernetes, serverless
- Domains: Fullstack (backend preference), product development, technical architecture
Formation: Computer Engineering @ UTT Languages: French, English
- 🌐 florian.bruniaux.com - Portfolio
- ✍️ florian.bruniaux.com/blog - Blog on AI-assisted engineering, updated most weeks
- 📂 cc.bruniaux.com - Claude Code Ultimate Guide, continuously updated
- 🎤 florian.bruniaux.com/media - Talks, podcasts & live streams
- 🌍 devw.ai - Dev with AI, French-speaking AI community
- 💼 cowork.bruniaux.com - Claude Cowork Guide
- 🗺️ starmapper.bruniaux.com - StarMapper
- 📊 ccboard.bruniaux.com - CCBoard
- 🌉 ccbridge.bruniaux.com - CC-Copilot Bridge
- 🦀 rtk-ai.app - RTK - Rust Token Killer