Waydev launches engineering intelligence
- Waydev debuted an AI platform on Product Hunt that tracks agent-generated code from IDE to production. - The product frames itself as an 'engineering intelligence' system for visibility into AI-assisted development. - The launch signals growing demand for tooling that measures and governs agent-driven coding across teams (x.com).
Waydev has launched a new version of its software analytics product that follows artificial intelligence-written code from the editor to production. (producthunt.com) The company’s Product Hunt listing says teams can measure artificial intelligence adoption, compare coding tools, track artificial intelligence-generated code to production, and see which vendors improve delivery. (producthunt.com) Waydev’s website describes the product as an “engineering intelligence” platform that measures artificial intelligence adoption across teams, tracks impact from code to production, and calculates return on investment down to token spending. (waydev.co) A Y Combinator company profile adds more detail: Waydev says its “AI Checkpoints” record which agent wrote code, how many tokens were used, the cost per pull request, the acceptance rate, and whether that code was deployed. (ycombinator.com) That pitch targets a specific problem in software teams: code assistants can generate more code, but managers still need to know whether that code survives review, ships to users, and improves delivery speed. Waydev’s own marketing has framed that gap as a 2026 measurement problem for engineering leaders. (waydev.co, waydev.co) DevOps.com reported on April 16 that Waydev had revamped its platform to show how artificial intelligence coding tools affect DevOps workflows, including how much artificial intelligence-written code reaches production and what companies pay for those tools per developer. (devops.com) Waydev is not starting from zero. The company has long sold software engineering intelligence tools that pull data from systems like GitHub and Jira, and in October 2025 it introduced a conversational product called Waydev AI for querying engineering data in plain language. (waydev.co, waydev.co) The new launch also lands as coding-agent vendors multiply. Waydev’s Y Combinator profile says customers can compare tools including GitHub Copilot, Cursor, and Claude Code on production outcomes rather than just usage. (ycombinator.com) For Waydev, the bet is that engineering leaders will want the same kind of cost, usage, and outcome tracking for artificial intelligence code that finance teams already expect for other software spending. (waydev.co, producthunt.com)
