Most AI agents fail because you're using them wrong. Here’s what actually works in production.

In this episode, Simon Maple sits down with Itamar Friedman (CEO of Qodo) and Robert Brennan (CEO of OpenHands) at QCon AI. They pull back the curtain on why agents hallucinate, provide inconsistent answers, and ship low-quality code.

On the docket:
• Why a third of developer-reported AI output is incorrect
• Why you must separate creative coding agents from structured review agents
• How excessive information destroys agent performance
• Parallelizing agents across 1,000+ repositories to resolve CVEs and legacy debt

Recorded live at QCon, this one's straight from architects building the future of the AI-native dev cycle.

Connect with us here:
Itamar Friedman: https://www.linkedin.com/in/itamarf/
Robert Brennan: https://www.linkedin.com/in/robert-a-brennan/
Simon Maple: https://www.linkedin.com/in/simonmaple/
Tessl: https://www.linkedin.com/company/tesslio/
AI Native Dev: https://www.linkedin.com/showcase/ai-native-dev/

Check out the Qcon Batch one: https://youtu.be/OnM7sWLnAfw?si=mxtM_jdQJ_EdpLXt

How Too Much Information Destroys Agent Performance

The AI Native Dev - from Copilot today to AI Native Software Development tomorrow