No. 040
Agents
Spec-Driven Development: Writing Specs, Not Code
Spec-driven development lets FAANG-scale teams define structured specs that AI agents execute. Learn the frameworks shipping real products today.
Notes from the field
Product engineering notes from the field.
66 published notes
Latest dispatches
No. 038
Agents
Agentic Engineering: Working With AI, Not Just Using It
Agentic engineering is the discipline of designing systems where AI agents are collaborators, not tools. Learn how product engineers ship with agents.
No. 033
Agents
The Multi-Agent Architecture That Actually Ships
Multi-agent architecture patterns from Factory AI's production system. How coordinated agents ship code at scale with real engineering discipline.
No. 032
Agents
The Future of Software Engineering Is Plan and Review
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.
No. 031
Agents
Vibe Coding vs Vibe Engineering: What Actually Changes
Vibe coding vs vibe engineering: the maturity model that separates prototype vibes from production systems. A practical guide for senior engineers.
No. 027
Agents
Context Engineering: The Skill That Replaced Prompt Engineering
Context engineering is the discipline of structuring information for AI agents. Learn how product engineers design context to ship reliable AI features.
No. 024
Agents
No Vibes Allowed: Why Complex Codebase AI Fails Without Human Judgment
Where AI fails in a complex codebase: legacy systems, tangled dependencies, implicit knowledge. How product engineers bridge the gap.
No. 017
Agents
AI Skills vs Agents: Don't Build Agents, Build Skills
AI skills vs agents: why discrete, composable capabilities beat monolithic agents, and how product engineers design them.
8 notes