Product engineering notes from the field.

What the engineering org AI looks like when agents handle 60% of implementation. Roles, ratios, and org charts for the future engineering organization.

Spec-driven development lets FAANG-scale teams define structured specs that AI agents execute. Learn the frameworks shipping real products today.

Agentic engineering is the discipline of designing systems where AI agents are collaborators, not tools. Learn how product engineers ship with agents.

Post-agile software development explained: why top PE teams dropped sprints for continuous ownership, and how to make the transition.

Product engineer metrics that matter at each stage. Learn which KPIs to track, how to set up measurement, and how to present results that drive decisions.

In aviation, flying behind the airplane kills. In product engineering, it makes you irrelevant. The anticipation mindset that defines the best Product Engineers.

Multi-agent architecture patterns from Factory AI's production system. How coordinated agents ship code at scale with real engineering discipline.

The future of software engineering is plan and review. Engineers in 2026 direct AI agents, not write code. Here's what the job actually looks like now.

Vibe coding vs vibe engineering: the maturity model that separates prototype vibes from production systems. A practical guide for senior engineers.

Context engineering is the discipline of structuring information for AI agents. Learn how product engineers design context to ship reliable AI features.

Where AI fails in a complex codebase: legacy systems, tangled dependencies, implicit knowledge. How product engineers bridge the gap.

Engineering leadership AI requires new skills. How EMs and directors should adapt to manage agent-augmented product engineering teams effectively.