The Framework
Five Facets of AI-Enabled Engineering
A disciplined approach to adopting AI in production environments. Not a checklist — a philosophy backed by real-world results.
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The AI-Enabled Engineer
The complete guide to getting the most from AI-assisted coding by adding human intervention. Free PDF.
The Core Principle
LLMs optimize for coherence (plausibility), not correctness (accuracy). AI-enabled engineers embrace AI as one of the most powerful tools in software development — but they also know there’s more to software than coding.
The Five Facets
1. Friction
Intentional pauses for human review. AI generates code fast — friction ensures humans verify before anything hits production.
2. Limitations & Guardrails
Clear boundaries on what AI can access and modify. The best teams know where AI adds value — and where it introduces unacceptable risk.
3. Documented Processes
Written, shareable workflows that make AI usage repeatable across the team. When your best engineer leaves, the process stays.
4. Verification
Rigorous QA and testing for all AI-generated output. Trust but verify — every single time. Automated testing and security scanning are non-negotiable.
5. Accountability & Operability
Clear ownership for every line of production code. When something breaks at 2 AM, “the AI did it” isn’t an incident response. Someone owns it.
Go Deeper
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