The article analyzes how AI shifts the demand‑output interface from humans to machines, compares traditional PRDs, Vibe Coding, and SPEC‑driven workflows, shows SPEC’s efficiency gains and higher information density, and argues that product managers must focus on judgment rather than document expression.
The article compares Vibe Coding and Spec Coding—two AI‑driven programming philosophies—detailing their definitions, advantages, drawbacks, supporting data, suitable scenarios, a concrete login‑system example, and the emerging hybrid approach that blends rapid prototyping with disciplined specification.
The article examines the pitfalls of "Vibe Coding"—quick AI‑generated code that skips testing and security—introduces the disciplined "Spec Coding" approach, and details how Addy Osmani’s open‑source agent‑skills project adds engineering rigor to AI coding through reusable skills, slash commands, and multi‑agent reviews.
The article analyzes the hype around AI coding tools like OpenClaw, exposing false demands, the pitfalls of building agents before real needs, the quality gaps in AI‑generated code, and practical strategies such as spec‑first coding, bottleneck identification, and multi‑model orchestration to improve productivity.
In ten days, a team built a 25,000‑line front‑end application using Claude‑based Spec Coding, achieving a 36% productivity boost through a three‑layer specification workflow, detailed data analysis, code‑style enforcement, MCP tooling, and a deep exploration of AI’s capabilities and limits.
The article examines the evolution of AI‑assisted programming in 2025, contrasts Vibe Coding with Spec Coding, outlines five core context‑engineering patterns, details the Skill vs. Subagent model, and presents a practical workflow system (kuspec) for building, initializing, and executing AI‑driven development tasks.
The author, a heavy user of AI agents for daily code refactoring, compares the expensive Opus 4.6 with the budget‑friendly MiniMax M2.5, showing how a mixed‑model strategy cuts costs dramatically while maintaining speed and quality across two full‑stack development case studies.
