Building software where agents execute and humans steer a gate-driven, autonomy-calibrated framework from intent to production.
Each module expands a core concept of the ADLC with detailed explanations, worked examples, and role assignments.
The four pillars of the framework at a glance 6 Stages, 5 Gates, 5 Levels, and the end-to-end ADLC guide. Where every concept fits and why.
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Agent Execute, Human Steer. The fundamental ownership split agents own the reversible and verifiable, humans own the irreversible and judgement-driven.
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Intent & Framing → Specification → Planning → Execution → Verification → Operation. Six gate-protected stages with precise agent and human roles at each.
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The 5-factor decision gate for every task: Reversible, Inspectable, Constrained, Low Error Cost, Autonomy-fit. All 5 pass → agent. Any 1 fails → human.
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From Suggest (agent proposes, human does) to Autonomous (agent self-deploys). A calibrated spectrum for earning and assigning agent autonomy safely per task type.
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Intent Lock → Spec Approval → Plan Authorization → Verification Sign Off → Release Authorization. Humans at gates, not inside build loops. Named gatekeepers per gate.
Read module →Traditional SDLC wasn't built for a world where non-deterministic AI agents perform substantial portions of software development. The ADLC fills that gap providing structured governance for a world where the executor is an agent and the accountability remains human.
The framework is compatible with any existing SDLC (waterfall, agile, continuous). It adds the agentic governance dimension without discarding what already works.
"In agentic development, every stage must earn the next. Autonomy is not assumed it is granted through proof, governed through gates, and scaled through deliberate levels of delegation."
Prashant Dhingra, ADLC Framework Author