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automated verification

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Oct 19, 2026 · Artificial Intelligence

Spec-Driven Development: How Executable Specs Make AI Coding Production-Ready

This article introduces Spec-Driven Development (SDD), a methodology that replaces vague prompts with structured specifications to constrain AI coding agents, detailing a seven-element spec template, a review-gated workflow, context injection layers, automated verification aligned with acceptance criteria, and version-controlled spec management to make AI-generated code reliable for production deployment.

AI coding agentsAI-assisted developmentProduction Deployment

0 likes · 21 min read

Spec-Driven Development: How Executable Specs Make AI Coding Production-Ready

Chengwu Tech Stack

Jul 29, 2026 · R&D Management

AI Development Pipeline: Not End-to-End Automation, But Governed Delivery

The article argues that AI development pipelines should not automate everything from requirement to production, but instead establish a governed delivery system with eight stages—requirement specification, task decomposition, parallel development, automated verification, code review, integration testing, pre-release acceptance, and production release—where quality gates and human decisions ensure reliability over speed.

AI development pipelineHuman-in-the-LoopQuality Gates

0 likes · 19 min read

AI Development Pipeline: Not End-to-End Automation, But Governed Delivery

DeepHub IMBA

May 29, 2026 · Fundamentals

lat.md: Transform Any Project Code into a Queryable Knowledge Graph

lat.md builds a persistent, verified knowledge graph from code, documentation, and media by splitting documents into linked fragments, automatically scanning and validating them, and enforcing a "summary first" rule to keep AI‑driven project maps accurate and up‑to‑date.

AI Integrationautomated verificationcode documentation

0 likes · 7 min read

lat.md: Transform Any Project Code into a Queryable Knowledge Graph