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Code First, Specs After: A Practical Guide to AI-Driven Development

1. Introduction In an era where AI agents like Claude Code and GitHub Copilot have become...

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AI · summaries

dev.to1 g fa

Keeping Specs, Tests, And Code In Sync In AI Development

AI agents causano drift spec-codice; il modello propone 6 ID (REQ/ADR/TASK/TEST/PR/files) come grafo per sincronizzare requirement a implementazione. Per team tech, previene false confidence dove test passano quando il codice soddisfa il requirement sbagliato.

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about.gitlab.com2 g fa

How to govern agentic AI, MCPs, and AI code assistants

86% of engineering leaders worry agentic AI without governance accelerates technical debt. Governance shifts from model choice to permission controls: composite identity linking agent to human, tool approval guardrails, and audit trails for every autonomous action.

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Timeline cronologica

giovedì 30 luglio 2026·dev.to
What GitHub Copilot's New July 2026 Agentic Review Features Can Teach Beginners About Trust in AI Coding
The biggest shift in AI-assisted coding lately is not that tools can write code faster. It is that...
venerdì 31 luglio 2026·about.gitlab.com
How to govern agentic AI, MCPs, and AI code assistants
AI agents can write, push, and deploy without human review at each step. Learn a practical framework for controlling access, permissions, and audit trails.

Code First, Specs After: A Practical Guide to AI-Driven Development

Confronto fonti

Keeping Specs, Tests, And Code In Sync In AI Development

How to govern agentic AI, MCPs, and AI code assistants

Timeline cronologica

What GitHub Copilot's New July 2026 Agentic Review Features Can Teach Beginners About Trust in AI Coding

How to govern agentic AI, MCPs, and AI code assistants

Keeping Specs, Tests, And Code In Sync In AI Development

Spec-driven development with AI agents: constitutions, checkpoints, and handoffs

Code First, Specs After: A Practical Guide to AI-Driven Development

Best AI Code Review Tools for GitHub in 2026