Improve Coding Agents With Traces and Evals
Hacubu · x · 2026-07-11
This post highlights a core method for improving coding agents: review traces first, then iterate.
Key points include:
- Teams should first understand agent behavior through real traces
- Then identify error patterns within those traces
- Design evals based on these errors to continuously improve agent quality
The quote introduces Open SWE:
- An open-source internal coding agent framework
- Aims to be similar to internal tools built by companies like Stripe, Ramp, and Coinbase
Overall, the message points to a practical roadmap: optimizing coding agents using real data, observability, and an evaluation loop, rather than just focusing on whether the model can write code.
More from coding & agent
- AI agents are starting to strain code hosting platforms — craigsdennis · 2026-07-21
- Async OPD distillation doubles throughput while matching synchronous math accuracy — _lewtun · 2026-07-21
- Omnigent 0.6.0 adds Claude Code imports, Slack approvals and desktop apps — matei_zaharia · 2026-07-21
- Google appears to have quietly shipped Gemini 3.6 Flash, with lower pricing and better agentic scores — xiaohu · 2026-07-21
- Open-source CLI audits AI tools, MCP configs, and agent skills on local machines — Initial-Copy332 · 2026-07-21
- Coding agents feel less stressful when the 5-hour limits are temporarily removed — iamrobotbear · 2026-07-21