Beyond Vibe Coding: One Engineer's Case Study in Building a Real Agentic Engineering Team
There's a gap in the agentic coding conversation that most practitioners hit quickly: single-agent mode works for demos, breaks at production scale, but the jump to "use a full framework" feels like overkill for a team of three. Christopher Montes hit that ceiling with Claude Code — consistent quality gaps, compounding errors on long tasks, context that evaporated between sessions — and his response was to build a deliberate multi-agent architecture rather than reach for a pre-packaged solution.
The core architectural move is specialization with narrow scope. Instead of one agent with access to everything, Montes structures a set of agents with tightly bounded responsibilities: a planning agent that decomposes requirements into discrete tasks, implementation agents whose file access is scoped to their domain, a review agent that checks contracts between components, and a task-tracking layer that persists state across context resets. The experience, he notes, feels less like prompting an AI and more like managing a small engineering team — assigning work, reviewing handoffs, enforcing interface contracts.
The engineering decisions he covers are the ones most practitioners get wrong the first time: how to divide context across agents without losing shared understanding of the system, how to define clean handoff contracts so one agent's output is another's reliable input, and how to design a task-tracking state machine that survives context window resets. The piece is explicitly framed as a counter to both "vibe coding just works" and "you need a whole framework" — the answer is deliberate architecture in the space between them, built to fit the actual shape of your work.