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+---
+title: "AI is now reviewing your code — and nobody can prove any of this is working"
+date: 2026-03-10
+draft: true
+tags: [ai, engineering, tech]
+---
+
+We're at a weird moment: AI tools are generating code faster than humans can review it, and now AI is being deployed to review the code that AI generated. Meanwhile, the industry is writing the largest infrastructure checks in history and still can't tell you what the return is. Make it make sense.
+
+**Anthropic adds code review to Claude Code**
+
+Anthropic shipped a multi-agent PR review system inside Claude Code — it scans pull requests for logic bugs and posts feedback directly on GitHub. This feels like the logical next step that nobody talked about enough: if AI is responsible for a flood of new code, someone (something?) has to be responsible for the quality. The interesting question isn't whether AI can spot bugs. It's what happens to code ownership and accountability when the reviewer is also an AI.
+
+**Microsoft 365 E7 — agents as the default**
+
+Microsoft launched its first new enterprise SKU in over a decade at $99/user/month. It bundles Copilot, governance tooling for agents, and a multi-agent orchestration layer partly powered by Anthropic tech. The framing is deliberate: this isn't "AI features added to Office," it's an AI-native license. Microsoft is quietly making agentic workflows the baseline assumption for enterprise software. If they're right, the SaaS tools that don't plug into this will feel like desktop apps felt in 2015.
+
+**Datadog's MCP Server — observability for AI agents**
+
+Datadog shipped an MCP Server that gives AI agents direct access to live logs, metrics, and traces. The pitch is that agents can now troubleshoot systems and automate remediation autonomously. What's interesting here is the architectural shift: observability platforms were built for humans to look at dashboards. Now they're being rebuilt as data pipelines that AI consumes. The human is moving further out of the loop.
+
+**The ROI gap nobody wants to talk about**
+
+98% of orgs are using AI in their workflows (up 10 points from last year), and most still can't measure the returns. Enterprise AI spend is accelerating anyway. That tension — massive budgets, fuzzy value — is probably the most honest summary of where we actually are with AI adoption in 2026. Everyone's in, nobody's sure it's working, and the invoices keep coming.