#SWE-bench

Articles about SWE-bench — exploring patterns, best practices, and real-world implementations in production systems.

1 post tagged with swe-bench. ← All posts

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Pratik Dhanave · ·7 min read

Evaluating Coding Agents — SWE-bench and Measuring Real Capability

How good is a coding agent, really? The honest answer requires evaluation — measuring whether an agent can actually resolve real software tasks, not just produce plausible-looking code. Benchmarks like SWE-bench made coding-agent progress measurable by testing agents on real GitHub issues verified by real tests, and understanding how coding agents are evaluated (and the pitfalls) is how you cut through the hype to what agents can actually do. This post is about measuring coding-agent capability honestly.

How good is a coding agent, really? Because code is verifiable, you can measure task resolution by tests on real issues — which is what SWE-bench does. The pitfalls that inflate numbers (contamination, overfitting, weak tests, cherry-picked demos), and why your real tasks are the real benchmark.

#Coding Agents#Evaluation#SWE-bench#Benchmarking#AI Agents#Software Engineering#Testing

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.