What core elements in your knowledge graph and agent customizability strengthen this differentiation enough to warrant adoption over well-established tools like codeium and copilot?
Show HN: AI Agents for engineering use cases like debugging, LLD,testing etc.
11–17 of 17 posts
Re: Show HN: AI Agents for engineering use cases like debugging, LLD,testing etc.
#12Hey Aditi! Potpie AI sounds awesome—love the idea of custom agents for engineering tasks with knowledge-graph-powered context.
Re: Show HN: AI Agents for engineering use cases like debugging, LLD,testing etc.
#13just tried this to integrate firebase realtime database and google analytics events with a project and it worked in one shot!
Re: Show HN: AI Agents for engineering use cases like debugging, LLD,testing etc.
#14Loved it, the knowledge graph powered context is a real game changer.
Re: Show HN: AI Agents for engineering use cases like debugging, LLD,testing etc.
#15[dead]
Re: Show HN: AI Agents for engineering use cases like debugging, LLD,testing etc.
#16Re: Show HN: AI Agents for engineering use cases like debugging, LLD,testing etc.
#17This tool is outstanding! I've already integrated it into my workflow, and the custom agents feature is truly impressive, with excellent system agents as well.
What I appreciate most is its ability to avoid the common pitfalls of other AI coding assistants, like hallucinations and assumptions. Potpie.ai understands my codebase and provides specific guidance on where to make changes, making it a true game-changer for coding!