World Congress 2025 • Aug 20, 2025 • Session details

Evaluating AI models for code comprehension

Merrill Lutsky

Are noisy AI code reviews eroding your engineers' trust? Discover the evaluation strategies that prove why Claude 3.7 Sonnet outperforms Gemini and GPT-4o for automated pull requests.

Starting at 4:56 · Watch from the beginning

 Evaluating AI models for code comprehension thumbnail

Checking access…

Playback and chapters load privately for Free videos.

Matching moments

1:56 min

Introduction to evaluating AI code review agents

Sofia Rest Sofia Rest · World Congress 2026 North America

2:02 min

Reimagining code reviews in the era of AI

Christian Heilmann Christian Heilmann +1 · World Congress 2026 North America

2:40 min

Reviewing live performance of self-correcting AI engineering agents

Ingo Eichhorst Ingo Eichhorst · World Congress 2026 Europe

3:01 min

Balancing artificial intelligence tools with foundational software engineering skills

Tim Ruscica · Coffee With Developers

3:22 min

Evaluating advanced artificial intelligence platforms for daily recruitment

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

1:56 min

Analyzing cloud-based AI code completion architectures

Daniel Savenkov Daniel Savenkov · World Congress 2024

Upcoming sessions on this topic

Open session

Teaching AI Coding Agents to Build It Right the First Time

  • Sajeetharan Sinnathurai

    Microsoft

    Principal Product Manager

Open session

The 200,000 line code repository: My AI wrote 1000 lines. I needed 100.

  • Hardik Gupta

    IBM

    Software Developer

Open session

Did the Model Improve, or Just the Score? A Developer’s Guide to LLM Evaluation

  • Jack Fitzsimons

    Blatent

    CTO and Co-Founder

Open session

Thinking in Graphs, Reasoning with Gemini!

  • Bhavesh Bhatt

    N/A

    Lead AI Engineer

Open session

The Dream Team You Didn't Know You Had - Multi-Model, Multi-Agent, One Software Lifecycle

  • Aditya Dua

    GitHub

    Senior Manager, Field Services, SAARC

Open session

Beyond File Dumps: Context Engineering for Coding Agents

  • Animesh Dutta

    Arm

    Senior Software Engineer