Code Is Cheap, Trust Isn’t
State of Software Engineering 2026: what changed when AI started writing software, what the evidence says, and what leaders should build next.
- D-03Measurement & Evidence
- D-01Enterprise AI
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State of Software Engineering 2026: what changed when AI started writing software, what the evidence says, and what leaders should build next.
A vendor-neutral operating model that connects the six places enterprise AI value is won or lost into one picture you can score, optimise, and defend.
A free 80-page research report on why AI productivity gains show up per developer and thin out before they reach production.
A team-of-one methodology for the AI era: one person with deep architecture and domain knowledge designing, coding, testing, and shipping enterprise software.
HTML
A living map of the data architecture behind analytics, generative AI, and agents: 248 capabilities and 128 patterns as one navigable territory.
HTML
An interactive knowledge graph of modern AI. 123 concepts from tokens and attention to LoRA, DPO, reasoning models, and agents, joined by typed connections.
JavaScript
Every concept carries its FIBO citation: a learner-first map of the Financial Industry Business Ontology, and audit-ready grounding for financial AI agents.
JavaScript
A free, local-first VS Code extension for verification debt: the widening gap between how much code AI writes and how much of it anyone actually checks.
TypeScript
Remote control for Claude Code. Approve tool calls, answer questions, and send instructions from your phone while an agent works.
A free decision tool for CXOs: learn the AI Value System framework, test one initiative, and decide what is worth doing with AI. Runs on your device.