Ask a coding agent for a system and it starts writing code within the minute. What it skips is everything that makes the code correct later: who the actors are, which use cases exist, what the calculations actually specify, where the subsystem boundaries sit — and which of those decisions a person was supposed to make. The Full SDLC package puts that work back in. Ten phases the engine runs in order and won't let the agent skip: requirements, solution design, style guide, interaction design, decomposition, build and test, change, local deployment, release, infrastructure. Each phase reads the files the previous one wrote and ends in a document you sign off. Nothing in the chain is a summary of a summary. Now you can choose between a waterfall like approach to build small systems or a small MVP in one run or use the incremental development steps. Existing code works too. Phase 0 recovers the baseline from the source with a file and line behind every record, and a confidence level on each. Included with Pro. Needs python3 and git on the agent's machine; the helpers are standard-library scripts, nothing installed.