Technical Notes

What to Put in an AI Coding Task Brief

Give an agent an outcome, boundaries, source of truth, and acceptance evidence instead of a long list of guesses.

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What to Put in an AI Coding Task Brief

An AI coding task becomes easier to evaluate when its brief describes the outcome and the boundaries. A long prompt full of implementation guesses can make the work less clear, especially when those guesses contradict the repository.

Start with the behavior you want to change. Include a concrete trigger and expected result. “When the user cancels the dialog, discard the unsaved local edit” gives the agent something observable to implement.

Name the source of truth

Point to the relevant requirement, issue, or existing behavior. If a design document is an intention rather than an implemented contract, say so. Ask the agent to verify current code before turning architectural claims into documentation.

Avoid copying several versions of the same requirement into the prompt. A single authoritative reference plus a conflict rule is easier to maintain.

Bound the scope

Identify the area the agent owns and the adjacent systems it must preserve. Include important exclusions, such as no deployment or no schema migration, when those are genuine task boundaries.

If multiple agents work concurrently, assign file or module ownership and tell them to preserve others’ edits. Shared access to a checkout does not establish who owns a change.

State acceptance in observable terms

Describe the user scenario or contract that must hold. Ask for checks appropriate to the change rather than demanding every possible test for every edit.

For a UI bug, acceptance may include reproducing the trigger and verifying keyboard behavior. For a backend contract change, it may require checking the caller and response shape. The evidence should match the claim.

Include operational authority

Separate permission to edit from permission to commit, push, merge, or deploy. Name the deployment target when relevant. If the current branch is the integration target, make that explicit rather than allowing a default branch assumption.

For work involving live systems, state the allowed action and stop conditions. A vague request to “fix everything” is a poor substitute for a bounded operational task.

Request a useful handoff

Ask for what changed, why it changed, what was verified, and what remains uncertain. The handoff should distinguish a passing local build from live acceptance.

A good task brief leaves implementation judgment where it belongs while making the outcome reviewable. You do not need to prescribe every line of code. You need enough shared context to recognize whether the result solves the intended problem.

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About the author

Prakash Poudel Sharma

Independent product manager & agentic engineering consultant

I'm an independent product manager, founder, and software builder based in Kathmandu. I help teams make product decisions and adopt agentic software development, drawing on over a decade of building software. I write about product thinking, engineering with AI, and hands-on experiments.

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