There is a persistent belief that working well with AI coding agents is mostly about writing better prompts. My experience points somewhere else: the prompt is the smallest part of the system. What decides whether an agent produces something you can merge — or something you have to untangle — is the context it works inside.
Real agentic development is not chatting with an AI. The deeper shift is in the role: we are gradually moving from being the person who writes the code to being the person who architects the system the agents work in.
What the agent actually consumes
When I look at how a task actually reaches an agent in my workflow, the prompt is only one of five inputs.
The agent is fed the product requirements (PRD), the architecture documentation (ARD), the system rules of the repository — the CLAUDE.md conventions and guardrails — and the existing codebase itself. Only then comes the actual command. The output is not a chat answer; it is a code diff, a pull request and tests.
An agent without documents is guessing. A bare instruction produces generic code that ignores how the system is actually shaped. Injecting the product and architecture context is not overhead — it is the fuel. The quality of what comes out is bounded by the weakest input you provide.
The double loop
The second half of the picture is how the interaction is structured once the agent starts working. I think of it as two loops.
The inner loop belongs to the agent, and it is autonomous. The agent analyses the context and formulates a plan, executes it — writing code, running the terminal — and then verifies its own work: linter, tests, compilation. When something fails, the logs and errors feed straight back into planning, and the agent iterates without me.
The outer loop belongs to the human. I do not write the code, but nothing merges without passing through review: the diff, the logic, the style. If it is not right, my feedback goes back into the agent's planning as change requests. If it is, it gets approved and merged.
That is the part I find most people miss. We stopped typing the code, but we did not leave the loop — we moved up one level. The accountability lives in the outer loop, and keeping a human there is not a transitional compromise; it is the design.
A snapshot, not a standard
One caveat I want to be explicit about: this is not an industry best practice or an unwritten law. It is an abstract picture of the workflow that currently works for me, building software with tools like Claude Code. Every team should expect to reshape this flow around its own tools, constraints and risk tolerance.
But the underlying claim travels well beyond my setup: if prompts were king, better phrasing would fix bad output. It does not. What fixes it is engineering the context — the documents, rules and code the agent sees — and structuring the loops so that autonomy and accountability each have a clear home.