Agents

Most “AI adoption” plans for a large engineering org quietly assume the easy case: a small team, a frontier model with a huge context window, and a greenfield repo. Reality is the opposite. You have five different roles who don’t share a workflow, dozens of repositories, a JVM-heavy multi-module estate with stream-processing and dataflow tooling bolted on, and — because security said so — an open-weight model served through a shared, OpenAI-compatible gateway with a usable context budget somewhere between 32K and 128K tokens, not a million. ...