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Flow will cease operations in 2027. If your team built workflows, dashboards, and quarterly reviews around Flow, you have a real problem on a fixed deadline.

Watch a 45-minute session on how to measure AI's real impact across the SDLC and win the executive conversation about engineering efficiency.

Measuring efficiency in the AI-driven SDLC means tracking whether your whole software delivery system got faster and more reliable, not just whether developers...

Watch a 35-minute workshop where we'll show where agentic AI breaks down when trying to build an engineering productivity platform that drives improvement.

Do we still need to buy the vendor platforms we’re evaluating, or could a small team and a Claude subscription build the parts we want?

Get complimentary access to the full report.

DIY engineering productivity dashboards fail within 3 to 6 months for the same reason every time: the dashboard was never the hard part.

GitHub Copilot here, Cursor there, Claude Code somewhere else. AI across tools is adopted, but is it actually working?

An operating model for engineering productivity with practical guidance for how to measure AI impact.