Building Autonomous Development Loops
Specification-driven, self-correcting engineering: how a loop that inspects, implements, tests and fixes itself is structured — and why it needs a spec, not a prompt.
BY ASHLIN DARIUS GOVINDASAMY
A single generation from an AI agent produces plausible-looking code. It does not produce correct code that has been run, tested and visually verified against a specification. The difference between those two things is the entire argument for an autonomous loop instead of a one-shot prompt.
The loop
The loop only works if each stage is honest about failure. Inspection has to read the actual repository state, not assume it. Verification has to run the build and the tests, not assert that they would pass. Fix has to re-enter the loop rather than declare victory.
Why a specification, not a prompt
A prompt describes an outcome once. A specification is a persistent, checkable artifact — a definition of done the loop can compare its own output against, iteration after iteration, without losing context about what 'finished' means.
- State persists between iterations — the agent inspects what actually exists, not what it remembers generating.
- The definition of done is explicit and checkable, not implied by the tone of a prompt.
- Failures are treated as expected input to the next iteration, not as terminal states.
The objective is a production-ready result, not a plausible first draft.
This site was built with exactly this loop — every capability page, diagram and animation on it went through inspect, implement, run, test, visually inspect, fix, repeat before being considered done.
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