By default the agent knows nothing about your project: not the style, not the rules, not where things are. Explaining this from scratch every session is a waste of time and a source of inconsistency. Configuring the agent is a way to fix what's needed once, so the agent holds it itself, from session to session and the same way across the whole team.

Configuration is made of four things: persistent instructions, skills, access to tools, and memory. Plus permission boundaries.

Persistent instructions

The most basic — a file of project rules the agent always reads (each tool has its own format, the idea is the same). Into it goes what should apply by default:

  • how to build, run, and test the project;
  • the style and conventions adopted in the team;
  • what not to do (don't touch these modules, don't rewrite without asking);
  • key architectural specifics.

This moves project agreements from people's heads into the agent's context automatically, without manual repetition.

Skills

Separate repeatable procedures are captured as skills — reusable abilities the agent applies when they're relevant: how to create a new module, how to review by your rules, how to write tests in the adopted style. A skill is a way to turn "how we do this" from tacit knowledge into agent behavior. More in the article on agent skills.

Access to tools and data

So the agent works with reality rather than making things up, it's given tools: code search, database access, the issue tracker, documentation. The standard way to connect them is MCP: a single protocol through which the agent reaches your systems. This way context is pulled on demand rather than poured in all at once.

Memory

So the agent doesn't forget important things between sessions, part of the knowledge is moved into persistent memory — what should live longer than one conversation: settled decisions, product context, accumulated agreements. On the mechanics — the article on Memory Bank.

Permission boundaries

Configuration is also about what the agent must not do. The more autonomous the agent, the more important the boundaries:

  • minimal permissions — access to exactly what's needed; reading is safer than changing;
  • the irreversible goes through confirmation — deletion, deployment, sending outward pass through a human;
  • limits — on steps and on cost, so a loop doesn't generate hundreds of expensive calls.

What this means in practice

Configuring the agent is an investment that pays off every session: instructions, skills, tools, and memory fixed once spare you repeated explanations and make the agent's behavior predictable and uniform across the whole team. A product engineer treats agent configuration as part of the project's infrastructure — it's built and maintained the same way as the build or CI.

What's next

You've covered the practice of working with agents — from the basic loop to configuration. Next the methodology deepens this: how to give the agent a contract, an executable standard, and on which language the agent works most consistently.