overview
Overview
A benchmark for evaluating large language models' software engineering capabilities, primarily focused on bug fixes.
AI ИнструментDead Man Walking
SWEbench
A benchmark for evaluating large language models' software engineering capabilities, primarily focused on bug fixes.
shipped 1 июн. 2026 г.aifreemium
1ai
Stork Quadrant
Dead Man Walking· 12/100
An LLM can do most of what this tool's UI promises. No moat, no agent presence.
“SWEbench is a benchmark, not a product — its value is being the agreed-upon measuring stick the industry uses to compare models. That brand authority is real: when Anthropic, OpenAI, and Google all cite your numbers, you have cultural lock-in that's hard to dislodge. But benchmarks get gamed, forked, and superseded fast. The data moat is thin — the GitHub issues and PRs are public — so the real moat is being first and cited enough that switching costs are social, not technical.”
Defensibility · 22/100
- Physical-world coupling
- Regulatory moat
- Network liquidity
- Proprietary refreshing data
- High-trust catastrophic workflows
- Multi-party coordination
- Brand / community / taste
An LLM alone could replace
- Generate a set of coding tasks or bug-fix prompts for testing an LLM
- Evaluate whether a code patch is correct by describing expected behavior
- Summarize model performance across a set of software engineering tasks
- Write test cases to validate bug fixes
Agent-Readiness · 0/100
- Verified MCP
- Listed on agent surfaces
- Usage-based pricing
- Headless agent auth
- Public OpenAPI
- Active changelog
- llms.txt
How to defend
Continuously expand the benchmark with harder, more diverse, and more recent tasks that can't be memorized by training data. Build the coordination layer — become the neutral third-party evaluation infrastructure that labs pay to run certified evals on, adding a trust and process moat on top of the brand.
- Ship an MCP server and list it on Stork — biggest single point gain (+25).
- Get listed in the Anthropic MCP registry, Cursor, or Claude Desktop (+20).
- Add a usage-based or per-call tier; per-seat-only pricing dies when agents replace seats (+15).
- Expose API-key auth with a self-serve sandbox tier; remove sales-call gates (+15).
- Publish an OpenAPI spec at /openapi.json or /.well-known/openapi (+10).
</>Embed "Featured on Stork" Badge▼
<a href="https://www.stork.ai/en/swebench" target="_blank" rel="noopener noreferrer"><img src="https://www.stork.ai/api/badge/swebench?style=dark" alt="SWEbench - Featured on Stork.ai" height="36" /></a>
[](https://www.stork.ai/en/swebench)
For builders
This page is doing a job for someone else’s tool.
AI agents read it. Buyers find it. Backlinks accrue. Your tool can have one too — live in 24 hours, indexed by Claude, ChatGPT, and Perplexity, queryable via MCP.