Insights
AI-Native Development Blog
How WiselyWise governs software development with AI agents — one article per stage of the lifecycle.
Start here · Series overview
AI-Native Software Development Governance
The six-stage model, explained end to end.
Read the overview →✦
Stage 01 · Plan
AI Requirements Gathering: Capturing Intent Before an AI Agent Writes Code
Why a durable intent record has to exist before specification starts.
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Stage 02 · Design
Spec-Driven Development With AI: Resolving Policy Conflicts Before Code
Drafting requirements and design together, with policy read while the spec is written.
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Stage 03 · Build
Plan-First AI Coding Workflow: Reviewing Before an Agent Changes State
Why no material AI-assisted change should start from an implicit plan.
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Stage 04 · Test
AI Evals in the CI/CD Pipeline: A Governance Control, Not Just a Quality Metric
Why continuous evals belong in CI as a merge-blocking gate.
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Stage 05 · Deploy
Layered AI Code Review Governance for Enterprise Engineering Teams
A six-pass, tool-agnostic model for AI-assisted review and release gating.
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Stage 06 · Maintain
AI Incident Response That Closes the Loop Back to Planning
Control-band tiers for AI-assisted incident response and continuous improvement.
Read the article →Want to see this model applied to a real product? Read our case study.