Show HN : Pilot – Shared memory and evidence-based commits for AI coding (github.com)

Pilot has introduced a novel trust infrastructure for AI coding, aimed at addressing the limitations faced by developers in scaling AI-generated code. Historically, while AI tools can quickly generate minimum viable products, questions around security and reliability persist, as past sessions lack continuity and recovery paths. Pilot provides a structured folder within a repository that serves as shared memory, allowing both human developers and AI tools to maintain context and track progress through files such as STATE.md (current status), TASK.md (current task), and LOG.md (history of changes). This system enables intuitive checks and balances, allowing coders to utilize AI without fear of critical failures, especially for high-risk tasks like authentication and payments. The significance of this development lies in its capacity to enhance trust in AI-generated code, making it more deployable and scalable. By defining clear boundaries for tasks and allowing the AI to provide evidence of changes made (such as test outputs and file diffs), Pilot assures developers that they can verify the integrity and security of their code. This structured approach not only introduces rigorous documentation and checkpoints but also fosters a collaborative environment where AI acts as a supportive tool rather than a standalone coder. Overall, Pilot represents a shift towards more reliable AI-assisted software development, empowering developers to leverage AI without compromising on safety or performance.