5d ago · 3 min read · The Velocity Illusion There's a stat making the rounds in 2026 that every engineering leader needs to sit with: AI tools now generate 41% of all code globally, yet code churn is expected to double this year. Delivery stability has decreased 7.2% acco...
Join discussionMay 2 · 2 min read · The Numbers Tell the Story A Q1 2026 survey of nearly 3,000 developers found something that should concern every engineering leader: developers now spend 11.4 hours per week reviewing AI-generated code, compared to just 9.8 hours writing new code. Th...
Join discussionApr 25 · 3 min read · The Numbers Don't Lie The AI Engineering Report 2026 analyzed telemetry from 22,000 developers across more than 4,000 teams. The headline metrics look impressive: epics completed per developer are up 66%, task throughput is up 34%, and PR merge rates...
Join discussionMar 3 · 14 min read · Developer Productivity Metrics: Measuring What Matters Without Toxic Outcomes Measuring developer productivity is one of the most consequential decisions an engineering organization makes. Done well, you get early warning signals for systemic problem...
Join discussionMar 3 · 10 min read · Developer Metrics and Engineering Intelligence Tools Measuring developer productivity is a minefield. Get it right and you have early warning signals for systemic problems, evidence for resourcing decisions, and data to improve your engineering proce...
Join discussionDec 15, 2025 · 42 min read · Key Takeaways AI-augmented engineering teams, stricter CFO scrutiny, and boards demanding revenue impact proof make 2026 a turning point for engineering metrics that move beyond traditional velocity measurements. Classic DORA metrics remain necessa...
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Dec 2, 2025 · 20 min read · Key Takeaways AI-powered engineering insights transform raw operational data into actionable intelligence, enabling faster decision-making and improved product development cycles Leading companies report 1000x faster design exploration and 67% prod...
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Nov 18, 2025 · 23 min read · Key Takeaways Engineering resource forecasting predicts future talent needs based on project demands, skill requirements, and capacity constraints to optimize team productivity Providing accurate estimates for resources, budgets, and timelines is e...
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Sep 22, 2025 · 8 min read · Software development today is not just about writing code—it’s a strategic balancing act. Companies are under relentless pressure to deliver high-quality software quickly. Customers demand rapid updates, seamless user experiences, and bug-free releas...
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