sdd:implement

You can automate multi-step task implementation by orchestrating end-to-end workflows with integrated LLM-as-Judge verification for critical steps. This approach executes tasks in dependency order, applying automated judge verification and human-in-the-loop checkpoints to ensure reliable, reproducible results without manual micromanagement.

LLM-as-Judge verification is an automated validation mechanism that evaluates critical execution steps within a task workflow. It aggregates judge results to drive deterministic outcomes, ensuring formal verification standards are met during multi-step software, documentation, and design tasks.

Yes, phase-based execution supports optional parallelism to accelerate complex development task delivery. Tasks are orchestrated in dependency order, allowing multiple steps to execute concurrently where appropriate while maintaining formal verification through refine and continue modes.

Automated task orchestration works for documentation workflows and complex design challenges that require deterministic execution. It applies phase-based task automation with integrated judge verification, ensuring reliable completion for non-code tasks just as it does for software engineering.

LLM verification for task automation requires structured, deterministic execution paths and may necessitate human-in-the-loop checkpoints for ambiguous steps. It is designed for critical step validation rather than open-ended creative tasks, relying on phase-based execution to maintain reproducible outcomes.

To start an end-to-end implementation workflow, run a task file through the orchestration process to trigger automated verification. Refine and continue modes allow you to iteratively adjust execution based on aggregated judge results, driving reliable task completion.