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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.

Created from a study of 8.1+ M PRs from 4,800 engineering teams across 42 countries.

Explore new AI insights from the 2026 Software Engineering Benchmarks Report – backed by 8.1M+ PRs across 4,800 engineering teams and 42 countries.

This demo guides you through the AI Insights Dashboard, demonstrating how to track and analyze trends in AI tool adoption, rule coverage, and code quality....

This demo walks you through connecting Anthropic’s Claude to LinearB data, querying insights and recommendations, and building repeatable metrics dashboards –...