{
  "slug": "swe-bench",
  "name": "swe-bench",
  "description": "swe-bench is a benchmark for evaluating the performance of AI agents and models on real-world software engineering tasks. It provides a dataset of GitHub issues from open-source projects, including a human-filtered 'Verified' subset, to measure how well AI agents can resolve these issues. The platform serves as a leaderboard to compare various AI models and agents based on their resolution rates and associated costs.",
  "url": "https://optimly.ai/brand/swe-bench",
  "websiteUrl": "https://swebench.com/",
  "logoUrl": "https://logo.clearbit.com/swebench.com",
  "baiScore": null,
  "bai_tier_status": "active",
  "bai_score_status": "active",
  "archetype": null,
  "archetype_status": "active",
  "category": "AI Development",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [],
  "competitorsProse": null,
  "inboundCompetitors": [],
  "aiAlternatives": [],
  "parentBrand": null,
  "subBrands": [],
  "updatedAt": "2026-08-16T00:02:57.447Z",
  "verifiedVitals": {
    "website": "https://swebench.com"
  },
  "intentTags": {
    "problemIntents": [
      "Manual Code Review and Testing: Human software engineers manually review code, identify bugs, and write tests, which is the traditional method for ensuring code quality without AI agents or automated ",
      "Software Quality Assurance Consulting: Hiring a specialized agency or consultancy to perform extensive code audits, bug detection, and software testing using human expertise and established QA methodo",
      "No Formal AI Agent Evaluation: Opting not to rigorously evaluate the performance of AI agents on software engineering tasks, relying instead on anecdotal evidence, internal testing, or simply deployin"
    ],
    "solutionIntents": [
      "swe-bench benchmark",
      "AI agent evaluation software engineering",
      "compare AI coding agents",
      "swe-agent leaderboard",
      "AI software bug fixing benchmark",
      "Static Code Analyzers & Linters: Using tools like SonarQube, ESLint, or Pylint to automatically identify potential bugs, code smells, and style violations in source code, but without autonomously fixi"
    ],
    "evaluationIntents": []
  },
  "businessProfileClaims": [],
  "timestamp": 1786953411446
}