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The AI-native product manager's real job is in judgement, taste, and the why's that AI can't replace. The challenge is capturing and communicating that context. Here's what we mean.
Jeff Keyes
Field CTO & Product Leader
DORA's 2026 AI ROI report finds returns live in the engineering system, not the tools. Here's the infrastructure VPs of Engineering need to instrument.
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Specification quality is where AI lands hardest on product management. Why it decides AI coding ROI, and how to make the transition.
What is a context graph, and why are most enterprise builds already following the same path that turned data lakes into swamps? Here's the architecture that delivers value.
Building agentic infrastructure for AI agents, not humans. ZipRecruiter's Arthur Frayman on what changes in platform engineering.
Jeremy Freeman's recognition in the Triangle Business Journal's 40 Under 40 highlights his impact on engineering leadership and bridging the gap between tech and business outcomes.
Allstacks recognized as a Visionary the Gartner® Magic QuadrantTM for Developer Productivity Insight Platforms.
The AI productivity gap in engineering teams is widening. Senior engineers compound their advantage while junior developers stall. Here's my perspective as an engineering leader.
Spec quality is now the upstream control on AI code quality. Three takeaways from the Allstacks webinar on what engineering teams need to fix first.
AI slop is already in your pipeline. Four engineering leadership shifts to make before bloat and bad code bury your team.
Your AI coding ROI feels real, but most engineering leaders can't prove it. See why the measurement gap exists and how to close it before the next board review.
AI writes more code every quarter, but engineers still supervise 80%+ of what they delegate. Inside the 2026 orchestration gap.
Engineering teams are producing more code than ever but shipping less reliably. The real problem is a visibility gap, not a productivity one.
How AI transforms engineering org structure by 2030. From 8-person teams to 3-4 humans + AI agents. Data-backed insights on evolving roles: Tech Lead, EM, PM, QA.
AI code generation is driving code costs to zero. Engineering leaders must shift from measuring output to proving ROI. Here’s what that actually means.
AI now writes most of the code deployed. But software engineers aren't obsolete—they're making more product decisions than ever. Here's what changed...
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