GitHub Repositories

Production-grade repositories authored by identity-verified expert engineers across backend, frontend, mobile, infrastructure, data, and ML domains. Each repository ships with its full commit graph, pull-request review threads, issue discussions, and CI results, so models learn how experienced engineers actually design, review, and repair software, not just the final state of the code.

Every repository is contributed by a paid expert with signed consent, license and authorship verified up-front, and secrets and PII reviewed and scrubbed before delivery. Optional screen-and-narration coding sessions can be attached to the same repositories for step-level reasoning context.

Highlights

• Repositories from identity-verified expert engineers, attested by GitHub history and professional background, not anonymous scraped accounts
• Full development context per repo: commit graph, pull-request review threads, issue discussions, and CI status
• Per-repo metadata: primary language, frameworks, domain, test-coverage signal, and complexity tier
• Optional coding-session recordings with spoken reasoning, linked to the exact commits they produced
• License-cleared and authorship-verified, with secret and PII scanning on every repository before delivery

Language and domain coverage

40+ programming languages across backend, frontend, mobile, infrastructure, data, and ML engineering. Coverage extends to specific stacks, frameworks, or domain targets on request.

Capture and format

Each delivery includes the repository tree, full Git history, and structured exports of pull requests, reviews, issues, and CI runs as JSON. Optional coding sessions are captured as continuous screen recordings at 1920×1080 or higher and 30+ fps with synchronised terminal, editor, and commit events.

Annotations

Layered annotation: per-repo language, framework, and domain metadata as standard, with optional commit-level intent labels, review-comment categorisation, bug-fix and refactor tagging, and step-level reasoning transcripts available on request.

Provenance

• Paid expert contributors with signed consent
• License and authorship verified before delivery
• Secret and PII scanning on every repository
• Per-repo audit trail and licensable usage rights

Use cases

• Training and evaluating coding agents on real-world repositories and review workflows
• Code review, bug-fix, and refactor modeling with expert reasoning signal
• Repository-level understanding, navigation, and long-context code tasks
• RL post-training and evaluation with verified expert engineers in the loop