spec-implement

Automating spec implementation involves running an autonomous task execution pipeline that applies TDD and commit logging in sub-agent contexts until all tasks pass tests. The workflow enforces deterministic planning, blocks on failed tasks, and emits audit logs for tracking.

When a task fails during autonomous spec implementation, the pipeline records a BLOCKED status and halts execution for that branch. This blocking mechanism ensures quality gates are met before proceeding, while audit logs capture the failure for dependency tracing and verification.

Sub-agent task execution processes software development specs by running each task in an isolated context with deterministic planning. It autonomously follows a plan-execute-verify sequence, using a verifier to validate results and logging commits only after tests pass.

Yes, an autonomous spec implementation pipeline relies on a verifier to validate results. The workflow depends on this verification step to ensure tasks pass tests before logging commits, enforcing quality gates and emitting audit logs for dependency and result tracking.

The best way to track dependencies and results in an automated TDD workflow is by emitting audit logs throughout the task execution pipeline. These logs record the status of each sub-agent task, including BLOCKED states and commit logs, ensuring full traceability.

You should use an autonomous agent pipeline for spec implementation when you need to reduce repetitive development tasks across distributed features and enforce deterministic quality gates. It is suited for new service feature pipelines requiring strict TDD, commit logging, and audit trails.