Hatchways 2.0: GitHub-Based Technical Hiring Assessments

Hatchways 2.0 reimagines technical hiring by moving assessments out of artificial coding sandboxes and into GitHub repositories, the same environment developers use every day. This approach gives candidates the chance to showcase their skills using tools they already know, while interviewers benefit from reviewing pull requests and code in a familiar, git-native interface. The result is a more authentic evaluation of how a candidate actually works, rather than how well they perform under the pressure of an unfamiliar coding widget. Beyond the core assessment engine, Hatchways is built around research-backed practices designed to make interviewing more equitable and inclusive. Companies can assemble, send, and track assessments at scale, choosing from pre-built templates or uploading their own custom challenges. Grading flexibility is a standout feature — teams can rely on automated tests for objective scoring or bring in human reviewers for nuanced judgment, and everything can sync with popular ATS platforms like Lever, Greenhouse, and Ashby to keep the hiring pipeline organized. For startups and growing engineering organizations, Hatchways removes much of the manual overhead from technical screening. Recruiters and hiring managers get a streamlined way to filter candidates based on real-world problem-solving ability, saving valuable interview time while improving the overall candidate experience.

1. Sign up and choose a pre-built assessment template or upload your own custom challenge. 2. Assemble your assessment and configure grading criteria, including automated tests or human review. 3. Send the assessment to candidates via GitHub repo invites. 4. Track submissions and progress in real time from your dashboard. 5. Grade submissions using automated tools or assign them to human reviewers. 6. Sync results with your ATS (Lever, Greenhouse, or Ashby) to keep your hiring workflow unified.