How We Built a Custom AI Coding Agent for Our Dev Team (In Just 2 Weeks) | Ep 39 cover art

How We Built a Custom AI Coding Agent for Our Dev Team (In Just 2 Weeks) | Ep 39

How We Built a Custom AI Coding Agent for Our Dev Team (In Just 2 Weeks) | Ep 39

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Want the framework we used to build our custom AI coding agent?

Book an assessment and we’ll walk you through the exact framework we used.


In this episode of SaaS Founder Stories, David Brennan shares how the team at Arkeo AI built a powerful custom AI coding agent—fully integrated with GitHub, LLMs, and their internal mono repo.


David walk's through:

    • Why off-the-shelf tools weren’t enough
    • How they architected the system with an MCP server, vector store, and secure access
    • Real-world use cases: project planning, dev docs, technical requirements, and more
    • The future of AI-powered codebases and intelligent developer workflows

  • If you're building for developers, working with large codebases, or just curious how AI can supercharge your engineering org—this one's for you.


    🎙️ Hosted by David Brennan
    🔧 Powered by real-world dev pain points
    💡 Inspired by what’s next in AI for software teams


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