Requirements Management for AI Coding Agents

A short prompt can influence many parts of a product. Specifications act as leverage: a person makes the key decisions, and the system develops their consequences into connected, reviewable work. The widening band below represents the reach of a decision. The accepted specifications remain a reference for implementation, checks and later changes.

1. Intent. Ask for a change, such as adding technician assignment to visits. State the desired outcome and give the available product context. A brief request starts the process; it can leave important behavior open.
2. Clarification. AI Analyst investigates existing context and asks about missing product decisions. Which visits reserve a technician's time? What happens if assignments overlap? You answer the questions that the available context cannot settle.
3. Specifications. The system proposes connected requirements, data, UI and API changes. For the teaching example below, rejecting overlapping confirmed visits affects the assignment operation, stored schedule and conflict message. You inspect the diff, edit or exclude proposals, and apply the agreed changes.
4. Implementation. An external coding agent retrieves accepted specifications, change scope and architecture rules through MCP. It turns that context into changes across the relevant parts of the codebase, including protection against conflicting requests made at the same time.
5. Verification. Compare implementation with the accepted specifications. Code alignment analysis, executed tests and QA through the interface provide different evidence. Review findings and unresolved questions to decide what needs correction and whether the behavior solves the intended problem.

A mismatch returns work to implementation. If the intended behavior needs to change, review and agree on that specification change separately. Preserved decisions also help another developer or a fresh agent session continue the work.

“Add technician assignment” names a task but leaves important questions open. A useful requirement states the rule and explains what should happen when someone tries to break it.

For example, a feature for scheduling visits might have these requirements:

• A dispatcher can assign a technician only if that person has no other confirmed visit at the same time.
• If the visits overlap, the system rejects the new assignment and keeps the schedule unchanged.
• The interface explains the conflict so the dispatcher can choose another technician or time.
• If two requests arrive at the same time, the system must still prevent overlapping assignments.

These requirements define results you can check. Developers can still choose how to build the feature. API specifications, data rules and architecture rules add the details they need. Performance and security requirements also need clear conditions and a way to decide whether they are met.

Keep each requirement clear, specific and possible to test. Record open questions until someone answers them. For example, should a cancelled visit still block a time slot?

Without clear requirements, an agent has to work out what you want from code, examples and past conversations. Existing code shows what happens today. It may also contain the bug you want to fix.

Reviewing requirements helps reduce this guesswork. They explain what to change and which rules to keep. They also help you spot missing details before coding starts. You can restart a session, switch agents or pass work to another developer without explaining every decision again.

The accepted decisions provide a stable handoff for implementation and review, including when one developer works with several agent sessions.

Each method can find different problems. Code review can reveal a missing check. Running tests shows how the code behaves in tested cases. UI checks help you see whether users understand a problem and can resolve it. Security and performance may need extra analysis or tests.

Reqode supports these methods through checks of code against specifications and test management. An AI check can report a possible mismatch between code and specifications. You still need to review it. The report does not prove that tests ran or that the feature works correctly.

Review the requirement itself, too. Code and tests may be based on the same wrong idea. They can agree with each other and still fail to meet the user's need. Verification checks whether the result meets the requirements. Validation checks whether it solves the intended problem. NASA's systems engineering guidance explains this difference.

Most tasks do not need the full product history. Give the agent the requirement, related specifications, rules and code context for the task. Let it get more details when needed. This approach is described in Anthropic's context engineering guidance.

This can mean fewer repeated questions, less searching and fewer changes to redo. Loading only relevant context can also use fewer tokens than loading large documents and long conversations for every task. Reqode's Coding MCP gives the agent access to the selected product context and helps it find specifications linked to source files.

Token savings are not guaranteed. Writing requirements, getting context and running checks also take time and resources. Compare similar changes that have passed review. Count all tokens, time and review work, including retries and checks. The first prompt is only part of the cost.

Requirements become less useful if agreed changes are recorded only in chat or code. For each change:

1. Agree on what should change. Record decisions that affect how the feature works.
2. Review the specifications that need to change. Give the agent a clear task with a defined scope.
3. Check the result against the requirements. Record what passed, what failed and what you have not checked.
4. Update the agreed specifications and their links to code. If the code and requirements disagree, review the difference. Decide which should change. Do not rewrite the requirement just to match the code.

Start with one feature that you expect to change again. Keep enough detail to build it, check it and plan the next change. A file can be enough if you keep it up to date. A connected workspace becomes useful when you often need to find and update links between requirements, specifications and code.