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DevPrism

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DevPrism is an engineering intelligence platform for VP Engineering, CTOs and engineering managers who need a factual view of how their teams deliver software - and of what AI is actually changing. It connects the tools teams already use - GitHub, GitLab, Azure DevOps, Jira, Linear, SonarQube, Codacy, GitHub Copilot, Cursor, Claude Code, Codex and Devin - and computes DORA and SPACE metrics, code quality trends and delivery cost from one unified data model. What makes the data different is persona classification. Every contributor is automatically identified as a human, an AI assistant seat, an autonomous AI agent or a maintenance bot, with 40+ agents and bots recognised out of the box across GitHub, GitLab and Azure DevOps. Dependency bots stop inflating your throughput, and AI-authored work becomes visible separately from human work - by team, by repository and by pull request. DevPrism then correlates AI adoption with delivery speed, code quality and cost, so "are our AI tools paying off?" becomes a measurable question instead of an opinion. Six AI agents and six multi-step workflows go further than dashboards: they investigate anomalies, produce incident post-mortems, score pull request risk and can act back in your repositories - under policies you define, with every agent tool call written to an audit trail. You choose the level of autonomy, from read-only insight to governed write-back. All data is hosted in the EU (Azure France Central). DevPrism does not store your source code, access tokens are encrypted and never returned in clear text, and audience measurement is cookie-free. Pricing is public and self-serve, with a free Starter plan and a 14-day Pro trial that does not require a credit card.

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