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Agentic AI Branch Protection: The Agent That Wrote It Cannot Approve It
What is agentic AI branch protection? Agentic AI branch protection is a rule on the repository that stops any pull request from merging until someone other than its author approves it. The agent that wrote the change cannot approve it. That rule lives in GitHub, not in the agent, so the agent cannot talk its…
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Agentic AI Credential Scoping: One Key, Not Yours
What is Agentic AI credential scoping? Agentic AI credential scoping is the practice of giving an agent its own short-lived, narrow credential instead of the developer’s. The agent gets one key, cut to one job, that expires. It never gets yours. Yesterday’s post was about the rule the developer cannot edit. This one is about…
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What Is an Agentic AI Managed Setting? A Rule the Developer Cannot Edit
Agentic AI managed settings are the permission rules an administrator sets above the developer. No project file, local file, or command-line flag can loosen them. That is the whole idea. The rest of this post is the how. Last week I wrote about the circuit breaker and prompt injection. Both of those assume the rules…
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Keeping Agentic AI Systems Safe From Prompt Injection
Agentic AI prompt injection is what happens when an agent reads content that contains instructions and then follows them as if you had given them. The content can be a web page, an email, a PDF, a support ticket, or the result of a tool call. You asked the agent to do one job. Then…
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What Is an Agentic AI Circuit Breaker? A Rehearsal, Not a Button
An agentic AI circuit breaker is the rehearsed ability to stop an agent mid-run and put every system it touched back the way it was, in a time you have measured. Two halves. The stop halts the loop before the next tool call. The rollback undoes the calls that already landed. A button that only…
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What Is Agentic AI Context Caching? Stop Resending the Codebase
What Is Agentic AI Context Caching? Agentic AI context caching is the runtime control that lets an agent pay once to process a large, stable block of context. On every later turn, the agent reuses the provider’s stored computation at about a tenth of the price. The block is usually the system prompt, the tool…
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Agentic AI Case Study: Uber’s Software Factory, Mapped to the Roadmap
Uber has published the most complete public account so far of what it costs to run agents across an entire software organization, and the number that matters is not the adoption number. Between February and mid-August 2026, weekly agentic requests at Uber grew 9.4 times and weekly active users grew seven times, while total AI…
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What Is an Agentic AI Autonomy Tier? A Band, Not a Grant
An agentic AI autonomy tier is a named band of actions an agent may take without a human in the loop, with a hard ceiling on what it may not do at that band, and a rule for how it moves up or down. The tier is not a switch. It is a range with…
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Enterprise Agentic AI roadmap for 2027
An enterprise agentic AI roadmap for 2027 is a governance plan with an architecture inside it. For a Fortune 1000 company it is the year the weakest production agent climbs from Piloted to Governed, and the best one earns Assured, one exit gate at a time. This is the fall 2026 edition, the one about…
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What Is Agentic AI Context Compaction? Decide What Goes
Agentic AI context compaction is the step in an agent’s runtime loop where the harness takes a conversation that is nearing the context window limit, has the model write a summary of it, and restarts the loop with that summary in place of the original history. Everything before the summary is gone from the model’s…
Agentic AI Governance | Dr. Harish Kotadia, Ph.D.
Agentic AI architecture and governance for the enterprise