blueprint

To turn a one-line objective into a multi-session construction plan, you provide your goal to generate a self-contained, step-by-step pipeline with explicit dependencies, parallelism rules, and cold-start context briefs for fresh agents.

Multi-session project planning tracks continuity of context across multiple PRs and teams. You need it for large features or migrations spanning multiple sessions where autonomous agents require reproducibility and guardrails against context loss.

Yes, you can split, insert, reorder, or deprecate steps in a multi-agent workflow plan using the plan mutation protocol. This enforces an audit trail while allowing modifications to the serial and parallel execution order.

An adversarial review gate checks dependency correctness by reviewing every generated plan against a completeness checklist. The strongest model detects anti-patterns and validates serial and parallel execution rules before the plan is registered.

Yes, multi-session planning works without prior agent memory because each step includes a self-contained context brief. This cold-start context ensures a fresh autonomous coding agent can execute the step without previous session memory.

The best way to prevent context loss when automating workflows across multiple PRs is enforcing a five-phase pipeline with explicit dependencies and cold-start briefs. This ensures continuity, tracks parallelism, and updates the memory index end-to-end.