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>
108 lines
4.6 KiB
Markdown
108 lines
4.6 KiB
Markdown
# Claude Code — For CTOs & Decision Makers
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> Your engineering team is probably already using AI coding tools. The question isn't whether to adopt Claude Code — it's whether to do it in a controlled, secure, measurable way or let it happen organically (which means inconsistently).
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---
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## The business case in 3 data points
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- **62-85%** of developers already use AI coding tools daily (Stack Overflow 2025)
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- **91%** of organizations have adopted at least one AI tool in their engineering workflow
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- Teams with structured Claude Code adoption report **30-50% reduction** in routine coding tasks (config, boilerplate, test generation, code review)
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The gap isn't adoption — it's structured adoption. Most teams are using 10% of what Claude Code can do.
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---
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## What decision makers need to know
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### Security & Compliance
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Claude Code runs locally. It does **not** send your codebase to Anthropic — only the specific context you include in a prompt. What matters for compliance:
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- Data retention: configurable (0 to 30 days), or disabled
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- GDPR: clear opt-out path, no training on your data by default
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- Access control: granular permissions per project, per user, per tool
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- Audit trail: every action logged via hooks
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Full breakdown: WP06 — Privacy & GDPR Compliance *(whitepaper, coming soon)* (20 min)
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### Threat landscape
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This is the only public resource tracking AI coding tool vulnerabilities: **15 vulnerabilities and 655 malicious skills catalogued**. Key vectors relevant to enterprise:
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- Prompt injection via untrusted file content (e.g. malicious comments in dependencies)
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- Supply chain attacks via MCP servers (treat like npm packages)
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- Overpermissive configs in CI/CD pipelines
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Mitigation framework: WP03 — Security in Production *(whitepaper, coming soon)* (25 min)
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### Team adoption
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The ROI scales with structure. An individual developer gets 2-3× productivity on routine tasks. A team with shared configuration, hooks, and standardized workflows gets more, with consistent quality and security posture.
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Realistic adoption timeline: 4-6 weeks to full team competency with structured onboarding.
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WP05 — Deploying with a Team *(whitepaper, coming soon)* (25 min)
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---
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## Recommended reading path (60 min total)
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> Whitepapers are currently in private access — public release coming soon.
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| Document | Time | What you'll get |
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|----------|------|----------------|
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| WP06 — Privacy & GDPR | 20 min | Data flows, retention policy, compliance checklist |
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| WP03 — Security | 25 min | Threat model, CVE database, mitigation framework |
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| WP05 — Team Deployment | 25 min | Adoption phases, ROI, governance |
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---
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## The adoption path that works
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Most teams that succeed follow the same sequence:
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**1. Pilot (2-3 devs, 2 weeks)**
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Identify 2-3 motivated engineers. Let them configure and experiment. Measure time saved on specific tasks (code review, test generation, documentation).
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**2. Config standardization (1 week)**
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Tech lead or external expert reviews their setup. Creates a shared `CLAUDE.md` for the team. Adds security hooks and CI/CD integration. Documents "what's allowed, what's not."
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**3. Team rollout (2-3 weeks)**
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1h onboarding session for the full team. Champions support peers. Shared config versioned in the repo.
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**4. Governance**
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Monthly review of usage patterns, cost, and security posture. Adjust permissions as AI capabilities evolve.
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---
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## Costs
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Claude Code subscription: $100/month per developer (Claude Max plan, includes full API access).
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At a loaded developer cost of €500-700/day, recovering 30 minutes per day per developer pays back the subscription in week 1.
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The real cost isn't the subscription — it's unstructured adoption creating security debt and inconsistent output quality.
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---
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## External support
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If you want to accelerate adoption or get an independent assessment of your current setup:
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**Brown Bag Lunch, talk, or panel (1-3h, free)** — executive + team intro, live demo, Q&A, or speaker slot. I do these for the pleasure of it — getting challenged, sharing what I know, building network. No strings attached.
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**Config audit (half-day)** — review your current setup against security and productivity standards.
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**Team formation (1-3 days)** — hands-on training, your codebase, your workflows, measurable outcomes. Not something I'm actively seeking right now, but I'm open to the right conversation.
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→ [Contact Florian Bruniaux](https://florian.bruniaux.com/) for availability and, depending on the mission, pricing
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---
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## Quick links
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- Whitepapers — 10 focused deep-dives *(coming soon)*
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- [Security Hardening Guide](../guide/security/security-hardening.md)
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← [Back to main README](../README.md)
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