Guides and comparisons on repository health, developer tooling, and open source risk.
Bus factor is the most-cited and least-useful metric in engineering risk management. A single number can't capture how knowledge is distributed in a codebase. Here's a better framework.
Read more →Everyone claims AI is transforming software development, but actually quantifying that impact in a real codebase is a minefield of confounding variables, vanity metrics, and uncomfortable questions. Here's what we learned trying.
Read more →RepoShark gives developers and engineering leaders a single health score for any GitHub repository — backed by risk signal detection, AI-powered analysis, and actionable recommendations. Here's why we built it.
Read more →RepoShark recommendations are now context-aware, data-driven, and include ready-to-use AI prompts so you can act on problems immediately.
Read more →The warning signs of an unhealthy codebase show up in your repository weeks before they show up in your team. Here's what to look for — and what to do about it.
Read more →A hands-on comparison of the best tools for scoring GitHub repository health — covering activity, contributor risk, PR velocity, and more.
Read more →Comparing the best tools engineering teams use to analyse GitHub repositories — from health dashboards to dependency audits and contributor insights.
Read more →Looking for a GitHub repository activity tracker? We compare five tools that monitor commit frequency, contributor trends, and repo health over time.
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