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Governing AI-DLC, Part 1: Your Backlog Becomes a Queue of Human Decisions

Every tracker ever built assumes the expensive part of software is writing it. Agents broke that assumption, and it takes project management with it — the board, the metrics, the job titles, and the screen where somebody clicks approve forty times a day.

Sunday, September 20, 2026 | 10 minutes Read
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Governing AI-DLC, Part 2: Security Gaps in AI Delivery Platforms, and How to Close Them

AWS has shipped the most serious platform yet for running delivery with agents — approval gates, automatic checks, full traceability. Then it stores the thing that defines those gates as editable data in an admin panel, and nothing checks the change that removes a check.

Sunday, September 20, 2026 | 12 minutes Read
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Governing AI-DLC, Part 3: How to Know Your AI-Assisted Delivery Is Actually Safe

Story points measured how much a team could build. Machines settled that question. The number worth watching now is how much safety you get per minute of human judgement — and the checks that produce it turn out to have a proper name, and a hundred years of theory behind them.

Sunday, September 20, 2026 | 12 minutes Read
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Securing AI-DLC: Process Integrity Is Not Product Security

AI-DLC gives you the strongest process integrity I have seen in any methodology — approval gates, audit shards, element-level traceability. None of it tells you the code is safe. Those are different claims, and closing the gap phase by phase is the work.

Monday, August 31, 2026 | 10 minutes Read
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From 40 Hours to 8: Designing Security Into the AI Development Lifecycle

Not every deferred decision is an option. Some are debt whose strike price rises with the calendar — and security spends most of its budget servicing that debt rather than doing security.

Tuesday, June 16, 2026 | 6 minutes Read