autonomous-loops

Autonomous development loops use context persistence patterns to maintain state across runs, ensuring iterative deliverables keep continuity. This prevents duplicated work and enables controlled stopping via deterministic verification mechanisms.

RFC decomposition for multi-agent orchestration breaks large features into a directed acyclic graph of tasks. Parallel sub-agents execute tiered pipelines per unit, coordinating via conflict-aware merge queues to land changes safely.

Continuous PR iteration with CI recovery uses verification loops that automatically detect failing checks and trigger targeted code corrections. Quality gates enforce standards before merging, preventing broken builds from landing in the main branch.

Yes, parallel agent coordination supports multiple sub-agents working simultaneously with merge coordination. Conflict-aware landing mechanisms ensure that parallel outputs integrate smoothly without overwriting concurrent changes.

Deterministic verification and quality gates are needed when running autonomous workflows to prevent runaway processes. They enforce stopping conditions, run cleanup passes to de-sloppify output, and verify iterations meet standards before proceeding.

Persistent REPL sessions prevent runaway work by applying controlled stopping mechanisms and deterministic recovery. Context persistence tracks completed actions across iterations, ensuring agents do not duplicate effort or diverge from specs.