21 related articles
Deep Dive into the Three AI Programmin…
Deep dive into the three frameworks of Specification-Driven Development (SDD) for AI programming: Blueprint, Execution Flow, and Change Records — solving the problem of AI code going off the rails.

A detailed guide on using Claude Code for writing and Codex for reviewing in AI programming. Includes a five-step closed-loop workflow and cross-validation techniques.
TutorialsA detailed guide to Claude Code's core curriculum: environment setup, multi-file project management, testing standards, AI architecture review & security auditing.
TutorialsDeep dive into Matt Pocock's AI-assisted coding workflow: Grill Me consensus building, PRD generation, Tracer Bullet vertical slicing, AFK execution, and Deep Modules architecture design.
TutorialsOpenSpec is a lightweight CLI tool that generates spec documents before AI writes code using a Propose→Continue→Apply→Archive workflow. DeltaSpec reduces output by 70%, supports 30+ AI coding tools.
Deep DivesDeep dive into how Claude Code works, including the Agentic Loop, automatic context compaction, tool calling, and permission modes that power autonomous AI programming.
TutorialsA methodology for rhythm control in AI programming: use a five-step strategy (identify, plan, minimal change, test, risk assessment) to prevent AI from going off-track and causing rework.
TutorialsDeep dive into SDD (Specification-Driven Development) methodology covering Cursor and Claude Code in practice—from intelligent data querying to enterprise compliance platforms across four progressive projects.
TutorialsDeep dive into Harness Engineering: how engineers shift from coders to AI supervisors. Learn to solve agent drift, feedback optimization, and build future-proof engineering skills.
TutorialsLearn how to let AI automatically distill reusable Skill prompts through a K8S cluster setup case. From task execution to problem discovery and iterative fixes, master the right methodology for knowledge management in the AI era.
TutorialsLearn how to let AI automatically distill reusable Skill prompts through a K8S cluster setup case. From task execution to problem discovery and iterative fixes, master the right methodology for knowledge management in the AI era.
TutorialsLearn how to build a full-stack message wall with Trae AI, Supabase, and Vercel — no backend experience needed. Covers setup, database, UI, and deployment.
TutorialsLearn how to build a full-stack message wall with Trae AI, Supabase, and Vercel — no backend experience needed. Covers setup, database, UI, and deployment.
TutorialsSuperpowers is a must-have plugin for Codex and Claude Code that uses AI reverse questioning to help developers clarify vague requirements, lower prompt writing barriers, and reduce code rework.
Auto-Generating CRUD Code with Claude …
Learn how to auto-generate high-quality CRUD code using Claude Code with MCP and Skill files. Covers MySQL MCP setup, Skill file writing, TDD patterns, and pagination optimization.
7 Official Best Practices for Claude C…
Anthropic's official Claude Code best practices: 7 core tips covering self-review, plan mode, precise instructions, CLAUDE.md, reverse interviews, session cleanup, and multi-session parallelism.
AI Programming Spec Sheets: 30 Lines o…
Replace vague prompts with spec sheets—30 lines of config gets AI coding right the first time. Covers the six-element framework, three-tier boundaries, and three iron rules to eliminate rework.
Superpowers vs GStack In-Depth Compari…
In-depth comparison of Claude Code's top open-source plugins Superpowers and GStack — their skills, workflows, and use cases to help developers choose the best AI coding assistant setup.
Zenflow Hands-On Review: Spec-Driven A…
In-depth review of Zenflow's spec-driven AI coding vs Google AI Studio's prompt-based approach. Covers multi-agent execution, automated validation, version rollback, and the paradigm shift in AI programming.
TutorialsA systematic breakdown of the Complete Guide to Claude Code course, covering context engineering, MCP protocol, claude.md configuration, multi-Agent architecture, and three progressive projects.