AI Maturity
Business category All categories · All posts
- 10 May 2026
Agent-Ready Repositories
A repository is not agent-ready because it has an instruction file. It is agent-ready when context, specs, verification, and boundaries make supervised delegation reliable.
- 10 May 2026
Agent-Ready Repository Checklist
A practical checklist for making a repository safe for human-supervised AI agents without confusing automation with autonomy.
- 10 May 2026
Phases Are a Roadmap; Maturity Levels Are Capability States
AI adoption phases and AI maturity levels are related, but not the same: phases describe transformation sequence, while levels describe proven capability.
- 10 May 2026
AI Maturity Is Safe Delegation Capacity
A maturity model for agentic engineering should measure how safely work can be delegated, not how many people have adopted a model or assistant.
- 10 May 2026
CI Guardrails and AI Platform Engineering
In agentic engineering, CI is the enforcement kernel: agents propose, but tests, policy, review, and humans decide what receives authority.
- 10 May 2026
GitHub Issue and PR Templates for Agentic SDLC
A template-driven way to make GitHub issues and pull requests operable for human-supervised AI agents.
- 10 May 2026
GitHub-Native Human-Supervised Agents
A practical bridge from personal AI usage to auditable agentic engineering: GitHub issues, small commits, pull requests, CI, and human review.
- 10 May 2026
Misalignment Signals in AI Engineering Adoption
A stakeholder matrix for detecting when AI engineering adoption is drifting away from safe delegation and toward organizational theatre.
- 10 May 2026
Pilot Selection and Rollback Playbook for Agentic Engineering
A pragmatic playbook for choosing AI engineering pilots that can prove value without damaging reliability, trust, or delivery discipline.
- 10 May 2026
Pilots, RAID, Misalignment, and Rollback
AI engineering adoption should start with bounded pilots, SMART goals, RAID logs, misalignment signals, and explicit rollback paths.
- 10 May 2026
System-Aware Governed Agents
Repository-level context is not enough for distributed systems. Agents need system graphs, ownership metadata, infrastructure boundaries, and governed cross-repo reasoning.
- 10 May 2026
Team-Managed Agentic SDLC
The move from repo-ready workflows to team-level AI maturity requires shared issue taxonomy, review rubrics, metrics, onboarding, and operating discipline.