# Coding-Agent Evaluation Moves to Real Stacks

As coding agents enter production, evaluation shifts from generic algorithmic benchmarks toward framework- and stack-specific tests, and domain-native evals increasingly decide which agents get adopted.

- Conviction: 40 / 100 (forming)
- Horizon: Emerging (watchlist)
- Tracking since: 2026-07-18T00:00:00.000Z
- Last updated: 2026-07-18T05:54:25.395Z
- Canonical: https://polylog.news/ai/trends/real-world-coding-agent-evals
- Publisher: Polylog
- Affected regions: Global

## Recent evidence

- [confirms] ReactBench Targets the Gap Between Coding Agents and Real Front-End Work (2026-07-18): ReactBench, built by the React Scan and Million.js team, evaluates coding agents on real React front-end work rather than generic algorithmic tasks, a concrete framework-specific benchmark of the kind this thesis says increasingly decides adoption.