19bdc910cc
Added:
- guide/roles/ai-roles.md: §14 MLOps Engineer, §15 AI Developer Advocate,
§16 AI Orchestration Engineer with full profiles (responsibilities, skills,
entry paths, salary benchmarks, career matrix rows)
- 4 resource evaluations (Packmind ContextOps, comprehension debt,
Addy Osmani agents.md anti-pattern, Claude Swarm Monitor)
Changed:
- guide/roles/ai-roles.md: ToC renumbered, Career Decision Matrix +3 rows,
Salary Benchmarks +3 rows, removed "Orchestration Engineer" from What's Not a Role
- docs/for-cto.md, for-cio-ceo.md, for-tech-leads.md: updated docs positioning
- guide/ecosystem: mcp-servers-ecosystem.md + third-party-tools.md updates
- guide/roles/learning-with-ai.md: content updates
Bump: 3.35.0 → 3.36.0 (VERSION, README, cheatsheet, ultimate-guide, reference.yaml,
llms.txt, llms-full.txt, machine-readable/llms.txt)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
87 lines
4.2 KiB
Markdown
87 lines
4.2 KiB
Markdown
# Claude Code — For CIOs & CEOs
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> 3 minutes. What you need to know about Claude Code before your next meeting with your CTO or CIO.
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---
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## What it is (in one sentence)
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Claude Code is an AI assistant that runs directly in your developers' environment — it reads code, writes code, runs tests, and does code review, autonomously or under supervision.
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This is not a chatbot. It's a production tool.
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---
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## Why it matters to you
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**Your competitors are already using it.** 91% of tech organizations have adopted at least one AI tool in their engineering workflow (Stack Overflow 2025). The question is no longer "should we adopt?" — it's "are we doing it right?"
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**The advantage comes from structure, not from the tool itself.** A team with a shared configuration, documented business rules, and security guardrails is 3 to 5× more effective than a team using the same tools without a framework. The competitive edge comes from organizational discipline, not from the license.
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**The risk of doing nothing is greater than the risk of adoption.** Your developers are probably already using it informally. Without a clear policy, you have security exposure without the benefit of measurable productivity gains.
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---
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## The numbers
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| Indicator | Value |
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|-----------|-------|
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| Cost per developer | $100/month (Claude Max plan) |
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| Time to ROI | < 1 week at $700-900/day loaded cost |
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| Observed gains on routine tasks | 30-50% (tests, boilerplate, documentation, review) |
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| Structured adoption timeline | 4-6 weeks for a team |
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| Risk of unstructured adoption | Security exposure + quality debt |
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---
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## 3 questions to ask your CTO
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1. **"Are our developers already using it?"** — The answer is probably yes. The real question is: with what configuration, what rules, and what level of traceability?
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2. **"Do we have a policy on what can be sent to the AI?"** — Config files, API keys, customer data: everything that goes into a prompt is sent to Anthropic's servers. This risk is manageable, but only if a policy exists.
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3. **"Who is our internal champion?"** — The teams that succeed have a tech lead or senior engineer dedicated to structuring adoption. This doesn't require a new headcount — it takes 10-15% of someone already in place.
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---
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## What it actually costs
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**License**: $100/month per developer (Claude Max). For a team of 10, that's $1,000/month — less than 2 days of external consulting.
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**Training**: one structured day is enough for a team of 10 to 15 people. A free Brown Bag Lunch (1h) lets you test team interest before committing to anything — and costs you nothing, I do those for the networking and the challenge.
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**Doing nothing**: your developers use unvetted free tools, with no data policy, no audit trail. That scenario carries more risk than structured adoption.
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---
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## What you can delegate (and to whom)
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| Decision | You | Your CTO/CIO | External expert |
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|----------|-----|-------------|-----------------|
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| License budget | ✅ | — | — |
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| Data policy / GDPR | ✅ validation | ✅ drafting | ✅ audit |
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| Team configuration | — | ✅ | ✅ if needed |
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| Training | — | ✅ identification | ✅ if structured |
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| Results measurement | ✅ validation | ✅ definition | — |
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---
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## Concrete next step
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**Option 1 — You want to understand before deciding**: ask your CTO for a 30-minute demo on a real use case from your codebase.
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**Option 2 — You want to move fast**: a free Brown Bag Lunch (1h, in-person or remote) covers the fundamentals for your executive and technical teams simultaneously. Free — I do these for the networking and the challenge.
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**Option 3 — You already have teams using it**: a configuration audit (half-day) identifies active risks and optimization opportunities.
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→ [Contact Florian Bruniaux](https://florian.bruniaux.com/) — availability and, depending on the mission, potentially pricing
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---
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## Going further (if you want the details)
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- WP06 — Privacy & GDPR Compliance *(whitepaper, coming soon)* — what goes to Anthropic, how to control it
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- WP03 — Security in Production *(whitepaper, coming soon)* — CVE database, attack vectors, mitigation
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- WP05 — Deploying with a Team *(whitepaper, coming soon)* — adoption phases, governance, ROI
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← [Back to main README](../README.md)
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