Kimi K3 Recursively Improves Cline: Terminal Bench Hits 88.8%
ccerrato147 · x · 2026-07-30
Cline announced that they used the Kimi K3 model to recursively self-improve the Cline harness. After 17 hours of iteration, Cline's performance on the Terminal Bench increased from 77.5% to 88.8%, while reducing the run cost from $79 to $49.8. This demonstrates the potential of LLMs in autonomously optimizing coding tools.
More from coding & agent
- CrowdStrike Report Reveals Hidden Vulnerabilities in AI-Generated Code — RexDouglass · 2026-07-30
- Developer Suggests Queuing Over Hard Limits for AI Agent Compute Constraints — majidmanzarpour · 2026-07-30
- Compiling Zod schemas from English specs: A new paradigm in AI coding — holdenmatt · 2026-07-30
- Agent-reach: Let AI Agents Browse the Web for Free Without Paid APIs — dr_cintas · 2026-07-30
- Dev tests Kimi K3: Full reasoning traces offer a transparent edge — doodlestein · 2026-07-30
- Dev builds parallel verification swarms leveraging cheap, fast Grok model — rudrank · 2026-07-30