Daedalus AI

Daedalus AI: My Vision for Autonomous Software Development My project, Daedalus AI, represents a paradigm shift in workflow automation. Unlike platforms like n8n that orchestrate APIs, my system is a true generative development environment built within the Trae AI IDE. It's an agentic workflow that takes a single prompt and autonomously generates a complete, documented, and deployable full-stack application. The architecture I designed, after a challenging journey, uses a powerful "Compiler and Executor" model. An @Architect agent transpiles my idea into a single project_rules.md file, which contains a complete, phased build plan. A self-orchestrating @Code_Generator agent then executes this plan from start to finish, intelligently adopting the persona of a specialist for each phase—from a Database Virtuoso to a Technical Writer that documents its own work. This journey, however, carries the grief of an unrealized vision. My original goal was a true digital software team of discrete, parallel agents for frontend, backend, and database. I spent immense time trying to make them invoke each other, but they would only "narrate" their actions instead of executing them. This fundamental limitation in agent integration forced me to pivot to the current, more pragmatic self-orchestrating model. Despite these hurdles, I am incredibly eager to continue working with the Trae AI IDE to enable true real-time agentic workflows. I have a wealth of ideas to implement, starting with revisiting my original vision by using terminal calls as a robust external orchestrator to finally achieve parallel agent execution. My future plans also include creating specialized "Helper Agents" to configure complex frameworks and an "Editing Agent" for self-healing code, making the build process even more resilient and powerful.