Planning software for AI coding agents
Product thinking, technical deep-dives, and lessons on planning software for agentic development.
17 articles tagged “Spec Governance”
The AI-Ready Spec Template: What Coding Agents Need to Execute
Most product specs leave gaps that AI agents fill with guesses. Here is a production-ready AI spec template designed for Cursor, Claude Code, and Copilot.
Dishant Sethi
ProdE Alternative: How Enact Compares on Agentic Planning
An honest comparison of ProdE and Enact: two codebase-aware planning layers for agentic development with different approaches to living specs and sign-offs.
Dishant Sethi
The Agentic SDLC: What Changes When Agents Touch Every Stage
The agentic SDLC reorganizes software engineering around AI agents that plan, build, and test. Here is what changes across every phase of delivery.
Dishant Sethi
Spec-Driven Development vs Vibe Coding: Why Teams Need Both
Vibe coding optimizes for exploration speed while spec-driven development ensures durability. Here is how modern engineering teams combine both models.
Dishant Sethi
CodeRabbit Plan Alternative: How Enact Compares on Team Planning
An honest, side-by-side comparison of CodeRabbit Issue Planner and Enact. Compare how both tools plan before the agent builds, and where their workflows diverge.
Dishant Sethi
What Is AIDLC? The AI-Driven Development Lifecycle, Explained
AIDLC, the AI-driven development lifecycle, reorders software delivery around agents that draft and humans who approve. Here is how the methodology works.
Dishant Sethi
What Is Spec-Driven Development for Teams Using AI Agents?
Spec-driven development ensures substantive decisions are approved before AI agents write code. Here is how SDD adapts to engineering teams.
Dishant Sethi
Why AI Coding Agents Need Collaborative Planning Before They Build
AI coding agents do not stop to ask when a decision was omitted: they pick a default and ship. Here is why collaborative planning between PM and Eng is critical.
Dishant Sethi