Resource Center

LinearB brought industry experts together for a first-of-its-kind discussion on the context layer needed to make agentic software factories measurable,...

Your AI software factory ships more code, but is it working? See how a context layer proves AI ROI with cost per effective PR and agentic PR yield benchmarks.

Watch a workshop on the new benchmark data behind the engineering productivity gap, and the measurement play that puts your team on the right side of it.

Join a live workshop on making the move off Appfire Flow without losing your history, your team structure, or your momentum.

Elite AI teams nearly doubled their merge rate in 2026 while developers using no AI stalled. See the engineering productivity gap in LinearB's 2.7M-PR data.

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.