Spec-driven development is essential for AI agents. 📋 A clean spec ensures a clean context, helping agents achieve major improvements in code quality. It helps them reason cleanly instead of guessing. Have you tried using specs to guide your AI agents?

💯This is essential nothing beats highly detailed PRD to communicate your original Intent to AI Agents - and of course you csn use AI to build that

👀🧠🔑📡

So context is the key for agents?

Yes, and the format matters more than I expected. Markdown specs that live alongside the code outperform external docs because the agent can reference them contextually. We saw fewer hallucinations and better goal persistence once we started treating specs as living documents that accumulate project knowledge.Yes, and the format matters more than I expected. Markdown specs that live alongside the code outperform external docs because the agent can reference them contextually. We saw fewer hallucinations and better goal persistence once we started treating specs as living documents that accumulate project knowledge.The format matters more than I expected. Markdown specs that live alongside the code outperform external docs because the agent can reference them contextually. We saw fewer hallucinations and better goal persistence once we started treating specs as living documents that accumulate project knowledge.xxThe format matters more than I expected. Markdown specs that live alongside the code outperform external docs because the agent can reference them contextually. We saw fewer hallucinations and better goal persistence once we started treating specs as living documents that accumulate project knowledge.

Implementing specs may reduce future regressions.

Nice approach … One the multi agent tasking .. I’m just curious is it the embedded file that the management agent be clearing,updating and deleting irrelevant data..or the uploaded file if you’re using text + embeddings ?

Works best with Markdown files as specs and must live within the repo.

Specs are the cheat code for multi-agent stacks. Clear context is the only way to stop agents turning every task into a game of broken telephone.

This video should be included in the Gemini usage agreement; it would prevent the unnecessary energy waste of running dumb agents.

Totalmente de acuerdo, los specs claros en arquitectura multi-agente han mejorado la robustez de los sistemas con los que trabajo. ¿Has notado tú ese salto en calidad?

specs as the primary artifact instead of code is a weird mental shift but it works

When mobile browser extension @googledevs

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This makes so much sense

Clear specs reduce guesswork and give AI something solid to work with I’ve seen this matter a lot in chat systems, where context shape every response. That’s why what @thelooma_io is building is interesting. AI that will run product data, and real conversation inside chat apps