Comparing LLMs on Large Codebase Reviews
soumitrashukla9 · x · 2026-07-10
This post compares the performance of GPT-5.6 Sol Ultra and Fable 5 Max on the same code review task. The job involves reviewing a massive trading system data pipeline codebase of about 6 million tokens, with a focus on optimization and production hardening.
More from coding & agent
- Soft Clamp cuts tool-call overuse in multi-teacher distillation, from 13.7% to 9.0% — antgroup · 2026-07-21
- Agent harness memory loss and compaction are still a major usability problem — adityaag · 2026-07-21
- SpecJudge runs locally on Ollama to pick the right-sized AI model for your project — jokiruiz · 2026-07-21
- A developer maps out six design rules for CLIs that humans and AI agents can both use — yujiezha · 2026-07-21
- A coding-agent skill that forces ADHD-friendly, answer-first output — ayghri · 2026-07-21
- A set of agent skills for CAD, robotics, and hardware design — earthtojake · 2026-07-21