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# AI That Argues With Itself: Building Self-Debating Systems That Catch Their Own Bugs


- **Event:** World Congress 2026 North America

## Description

Modern AI systems are incredibly capable and confidently wrong.

In this talk, we explore a new architectural pattern: AI systems that argue with themselves. By orchestrating multiple AI agents with opposing perspectives, we can uncover hidden bugs, reduce hallucinations, and dramatically improve output quality without adding human reviewers to the loop.

I’ll demonstrate how to design and implement a self-debating AI system using real-world examples: debugging code, validating architectural decisions, and stress-testing product requirements. We’ll explore when AI disagreement is useful, when it fails, and how to measure improvement beyond “it feels better.”


## Speaker

### [Shreya Singhal](https://www.wearedevelopers.com/@shreya-singhal)

AI Applied Scientist at Claritev


## Related talks at this congress

- [Reinventing Testing Practices in the AI Era](https://www.wearedevelopers.com/events/world-congress-2026-north-america/sessions/1724-reinventing-testing) — Eric Deandrea
- [Engineering the Pivot: How Creative Strategy Solves the Hard Problems of AI Accuracy and Scale](https://www.wearedevelopers.com/events/world-congress-2026-north-america/sessions/1737-engineering-the) — Shruti Tiwari
- [RoboCoders: Judgment Day: AI-Assisted Engineering Applied - The Battle of Agents](https://www.wearedevelopers.com/events/world-congress-2026-north-america/sessions/1697-robocoders-judgment) — Baruch Sadogursky, Viktor Gamov
- [Who Tests the AI? Building Trustworthy AI Systems at Enterprise Scale](https://www.wearedevelopers.com/events/world-congress-2026-north-america/sessions/1693-who-tests-the-ai) — Him Raj Singh

## Watch remotely

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- All full videos, bookmarks, and playlists
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## Links

- [Get tickets](https://www.wearedevelopers.com/world-congress-north-america/tickets)