CTO AI Forge

From "everyone has Copilot" to a re-engineered software lifecycle. Learn from zero to expert, find where AI really speeds delivery and where it moves the bottleneck to review or quality, choose platforms and models with a defensible decision record, and prove the impact with engineering metrics.

For: CTOs, VPs of Engineering, engineering directors and technical founders. You can start with zero AI knowledge: the learn path goes from how models, retrieval and agents work to running an AI-first engineering organization, and every tool works with the numbers you already track — cycle time, deploys, change failures, review time and cost.

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Where are you with AI?

Pick the closest match. It sets your path through the lessons and the playbook. You can change it any time.

Why it matters

DX research presented in February 2026, covering about 121,000 developers at 450+ companies, found that 92.6% of developers use an AI coding assistant and that about 27% of code is now AI-authored, yet productivity gains have plateaued around 10% (about 4 hours saved per week). The organizations that win set measurable goals, invest in developer experience and fix foundations such as fast CI/CD first. McKinsey's State of AI 2026 reports that 31% of larger enterprises are scaling software coding agents and that 32% of organizations have skipped at least one software purchase because they could build it with agentic coding tools. A CTO's job is to move from "everyone has Copilot" to a re-engineered software lifecycle — and to prove it with numbers.

This week’s briefing

The CTO's AI briefing →

Headlines from the weekly briefing land here every Monday once an editor has approved them.

LearnIn reviewFrom zero AI knowledge to expert, written for the CTO. Short reads with a 3-question check.Use casesIn reviewWhere AI helps in technology and engineering (software development, architecture, platforms and the technical side of the product): value, effort, risk, the human checkpoint and the KPI.PlaybookExplore → Pilot → Scale → TransformWhat to do at each stage, plus your first 90 days, with progress saved.DecisionsIn reviewThe calls you will have to make, with options, a framework, trade-offs and real examples.AI engineering productivity scorecardSignature toolLog each team's delivery numbers per period; see trends, DORA-style bands and which factor is limiting AI's impact.Build-vs-buy & model selection matrixSignature toolScore buy, API, self-hosted and fine-tune options; get a weighted ranking, a sensitivity check and a ready-to-file ADR.AI readiness for technology and engineering10 areas · 30 questionsYour level (L0–L5), a radar by area, the top 5 gaps and your next 3 moves.The CTO's AI briefingWeeklyAI news, cases, regulation, trends and tool movers that matter to technology and engineering (software development, architecture, platforms and the technical side of the product). The full edition is for verified executives.LibraryKnowledge LibraryOne-page guides and checklists, reviewed and versioned.CommunityPeersAsk and share with peers on the same path. Verified executives carry a badge.

Related on MyAIGuide.Pro

CPO AI Launchpad →Shape AI product strategy, AI features and team design together with your product leader.CIO AI Nexus →Enterprise AI portfolio, shadow AI and the internal platforms your engineering teams share with IT.CSO Shield →Security for AI-written code, coding agents and AI features: threats, controls and incident playbooks.Architecture Blueprint →AI assurance and audit: how AI systems and controls are tested and evidenced.AI Command Office →Work with your Chief AI Officer on the enterprise AI roadmap, platforms and governance.Governance Guardrail →Policies, approvals and oversight for coding agents and AI features.Compliance Wise →Track AI rules that affect the products you build and the tools your engineers use.Software engineering business area →Engineering use cases, workflows and resources across the site.Software engineer skill pack →Practical AI skills for your engineers.DevOps / SRE skill pack →AI skills for pipelines, operations and incident response.The AI Ranking Chart →Compare AI models and tools before you choose a platform.