Agents have made CI the bottleneck. Faster pipelines are the wrong fix.
Three posts landed in September that I think engineering leaders should read together. Anthropic’s engineering team wrote that their continuou…
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One engineer shipped 2,000 PRs a month to production. Verification is the key.
Lauren Tan, an engineer on the Grok team at SpaceXAI, who previously worked at Cursor and Meta, recently published a The post One engineer shipped 2…
The AI-native SDLC won’t be one process
Anthropic recently published its AI-Native SDLC Playbook. Its central claim is that “code is no longer the bottleneck.” When agents The…
Commits on GitHub have doubled in four months. Verification capacity has not.
I have been waiting for agent-generated code to show up in public infrastructure data rather than in vendor benchmarks. In The post Commits on GitHu…
Per-developer environments were the goal. Agents moved the goalposts.
Multi-tenancy has moved in one direction for 60 years: the tenant keeps getting smaller. Mainframe time-sharing carved a single machine The post Per…
Anthropic recommends a git worktree per agent. Your runtime infra makes that a problem.
A developer supervising four coding agents has four changes in flight at once, each in its own git worktree. That The post Anthropic recommends a gi…
How routing keys isolate Kafka consumer tests on a shared broker
A change to a service that consumes from Kafka is not validated until it has run against the real system: The post How routing keys isolate Kafka co…
85% say code review is the new bottleneck. Here’s what the AI coding narrative leaves out.
A merge is a contract. The moment a change lands on main, every other team in the organization starts building The post 85% say code review is the n…
Greptile, Cursor, and Devin agree that agents should run their code. What they run it against matters.
The industry has recognized that shipping agent code at scale requires runtime verification, and it is moving that way fast. The post Greptile, Curs…
Loops are replacing prompts. Verification is about to be your biggest problem.
Something shifted in the AI coding discourse this month. The argument is no longer about whether agents can write production The post Loops are repl…
Agentic development hinges on verification. For cloud-native software, that is a runtime problem.
Async agents are only useful if you can trust what they hand back. In a distributed system, that trust comes The post Agentic development hinges on…
CI wasn’t built for coding agents. Here’s what comes next.
For years, integration tests have lived inside CI pipelines, triggered on push and answered ten, twenty, or thirty minutes later. The post CI wasn&#…
Why agent harnesses fail inside cloud-native systems
Coding agents perform better with a harness that gives them the tools, guidance, and feedback signals to know what to The post Why agent harnesses f…
The agent code explosion is here. We need to rethink our pipelines, fast.
GitHub recently published an update on availability following a couple of rough incidents in April. The article opened with a The post The agent cod…