Blitzy Plan-Stage Human Approval
Blitzy
The approval gate sits at the plan stage because that is where Blitzy turns a vague request into a concrete change order. Once the Agent Action Plan is signed off, the system can execute at high speed across many agents and models, but the human has already locked the blast radius, the files in scope, and the design tradeoffs. That is a better control point than reviewing code after the fact, when mistakes may already be spread across dozens of edits.
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Blitzy already asks for human validation twice, first on the living technical spec that maps the codebase, then on the task specific plan. That means review happens before generation, not just at pull request time, which is especially important for large legacy systems where the biggest failure is editing the wrong place for the wrong reason.
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This is a different control model from IDE led tools like Cursor and Replit, which are built around fast iteration inside the editor and agent help during coding. Blitzy is closer to a managed software delivery workflow, where the main human job is approving the work order and then checking the finished pull request.
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The market is converging on more autonomous coding agents, including OpenAI Codex with pull request creation and Cognition plus Windsurf with local and cloud agent handoff. In that world, explicit plan approval becomes one of the clearest ways to make enterprise buyers comfortable delegating bigger chunks of software work.
The next step for the category is turning plan approval into a standard enterprise control surface, with policy checks, audit trails, and scoped permissions layered onto agent execution. If Blitzy keeps owning that approval and validation layer for messy production codebases, it can sell against transformation budgets, not just against coding copilots.