MCP went from emerging standard to genuine substrate in 2025. The use cases that have actually shipped on it are more interesting than the broad-platform-narrative version. Worth being specific about which ones to track and why.
Christmas week, so most of the news is the year itself sitting up and asking to be summarized. Nvidia buys Groq for $20B in the largest deal in company history, Z.ai ships GLM-4.7 as the new top open coding model, and the Challenger AI-layoffs number lands at 54,836. A partial year-end take.
Decisions as Code specifies the standard. OPA Gatekeeper enforces it. Constraint templates as the policy definition layer. Required tags, model version pinning, namespace quotas, network policies for AI workloads. The 'specify, then verify' loop, finally complete.
A nine-month checkpoint on the takes I had in March 2025 about how the year would shape up. Some held; some bent; some were plain wrong. Worth being explicit about which is which.
The week the model arms race went thermonuclear: GPT-5.2 lands as the answer to a 'code red' memo, Google ships Gemini 3 Flash three days later, NVIDIA drops Nemotron 3 as open weights. Meanwhile Trump signs an EO to preempt state AI laws and Accenture's AI-driven RIF crosses 11,000.
What integrating an open-weights model into a small SaaS product actually looks like end to end, the architectural decisions, the operational reality, the cost economics. Less hand-wavy than the typical write-up.
Trump signs an executive order to preempt state AI laws. OpenAI rushes GPT-5.2 out under a self-declared code red. Disney puts a billion into OpenAI and licenses 200 characters into Sora. Accenture pledges 30,000 Claude practitioners. The week the AI story stopped being about models.
Argo Workflows for the long-running, branching, fan-out AI ops pipelines that don't fit a CI runner. RAG indexing jobs, fine-tuning runs, eval suite execution. WorkflowTemplates as the Decisions as Code surface, same pipeline shape, different inputs per project.
DSPy is the framework that's most-likely to look obvious in retrospect. The practitioners running it in production have learned things the documentation doesn't cover. Worth the field report.
AWS re:Invent dominates with Trainium3, Nova 2, and AgentCore. Mistral 3 lands as the open-weight counter. OpenAI's leaked 'code red' memo reframes the Gemini 3 fallout. And the Challenger layoff numbers land, the displacement is real, the pace is the issue.
The discourse keeps pushing toward agents that operate alone. The discipline pushes back: bounded autonomy is the right target. Full autonomy is a category error, it's never what production wants. The right target is 'as much rope as you've earned, no more.'
Thanksgiving week, but Anthropic shipped Claude Opus 4.5 with Chrome and Excel on Monday. The EU softens the AI Act. Black Friday becomes the first AI-native shopping holiday. China hits 15% of global AI share. What I make of a quieter-than-it-felt week.
