Agents
SWE-bench
A benchmark that evaluates AI coding agents on real-world software engineering tasks pulled from GitHub issues.
In depth
A benchmark that evaluates AI coding agents on real-world software engineering tasks pulled from GitHub issues. Each task requires the agent to read a codebase, understand the bug or feature request, and produce a working patch. SWE-bench has become the standard measure for how well AI agents can do actual software development, not just isolated code generation.
Example
In practice, developers reach for SWE-bench when they need the capability described above as part of an AI feature or workflow.
Go deeper at Developers Digest
Hands-on guides, comparisons, and tutorials that cover Agents.
FAQ
Common questions
What is SWE-bench?
A benchmark that evaluates AI coding agents on real-world software engineering tasks pulled from GitHub issues.
Why does SWE-bench matter for AI developers?
SWE-bench sits in the Agents part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Where can I learn more about SWE-bench?
Developers Digest publishes tutorials and videos that cover Agents topics including SWE-bench. Check the blog and YouTube channel for hands-on walkthroughs.
Related
Related terms
Agents
SWE-bench Verified
A 500-task subset of SWE-bench that OpenAI released in August 2024 after 93 professional software developers screened the original test set.
Agents
Agent Handoffs
A multi-agent mechanism where one agent passes control of the conversation to a more specialized agent, rather than calling it as a subroutine.
Agents
Agent Swarm
A multi-agent pattern where many lightweight agents work on sub-tasks simultaneously without a central orchestrator.
Put this concept to work
Get Smarter About AI Dev
New tutorials, open-source projects, and deep dives on coding agents - delivered weekly.
One email per weekReal code, not theoryFree forever