#AI programming context
5 related articles
Tutorials·3 min
Matt Pocock's AI Coding Workflow: A Complete Methodology from Ideation to Delivery
Deep 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.
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Tutorials·3 min
SDD (Specification-Driven Development) in Practice: AI Programming Methodology from Cursor to Claude Code
Deep 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.
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Tutorials·3 min
AI Programming in Practice: Great Skills Don't Need to Be Handwritten — Let Them Emerge from Real-World Experience
Learn 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.
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Tutorials·3 min
AI Programming in Practice: Great Skills Don't Need to Be Handwritten — Let Them Emerge from Real-World Experience
Learn 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.
Read more →
Product Reviews·2 min
ZenFlow Hands-On: Testing the Spec-Driven Fully Autonomous AI Software Engineer
Hands-on review of ZenFlow—the first spec-driven fully autonomous AI software engineer. Multi-agent parallel collaboration with built-in verification delivers end-to-end development from ideation to production.
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