How Guilde Works

Video Transcript

At Guild, we got sick of being burned by AI agents that over-promise and under-deliver. So we identified four reasons why we waste time cleaning up AI slop. First, requirements are not clearly defined before assigning a task. Second, context gets overwhelmed because we ask agents to just do too much. Third, rules are ignored and treated like suggestions. And finally, tests are sometimes just skipped for no good reason. Guild set out to prevent each and those failure modes. Let me show you how.

Guild starts by building a knowledge graph to help developers learn how features work, why decisions were made, and who the experts are. This highly targeted context becomes an input to an AI-native SDLC. Guild breaks apart each step into a separate agent with its own unique context. That way the context never gets overwhelmed.

Step one, requirements gathering. In this step, our PM agent asks clarifying questions to ensure the work is clearly scoped. This agent's only responsibility is to define the boundaries between what will versus won't be built.

Step two, information retrieval. Our research agent identifies the rules, files, and code excerpts that are relevant to this specific task.

Step three, coding. Guild arms the coding agent with a fresh context that's populated with the results of the requirements gathering and information retrieval steps. The agent's only responsibility is to act on these inputs without any distractions.

Step four. Once code is complete, a team of testing agents evaluates each rule and requirement to ensure that none are skipped. If any tests fail, a comment is added to the ticket and it's sent back to the coding agent to remediate. The process repeats until all tests succeed.

Step five. The issue is merged and ready for human review. That way agents deliver reliable, production-ready code you can count on, and developers don't waste time cleaning up AI slop. To try it for yourself, register for Guild's beta today.

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