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Practical AI workflow

Build and check your code

Give an AI coding tool a bounded task, review the diff, and test the behavior before sharing your app.

By Genius Forges editorial team · 3 steps

Your outcome

A reviewable change with a clear task contract and evidence that it works.

The fastest generated implementation is useful only if you can maintain it. Work in a branch, describe one observable behavior, and provide the relevant project context. Choose an editor assistant or a guided app builder based on how much control you need. Require a clear explanation of changes and verify them with tests appropriate to the feature.

Follow the workflow

  1. 1

    Write a bounded task contract

    Use the task-contract prompt to specify the trigger, expected behavior, constraints and acceptance checks. Include relevant files and keep credentials out of the conversation.

  2. 2

    Implement in an isolated branch

    Ask the assistant to inspect existing patterns and make a focused change. Read the diff, check dependencies, and reject unrelated edits before proceeding.

  3. 3

    Test the user journey

    Run the applicable type checks and tests. Exercise success, empty and error states, then check the page at a narrow mobile width before merging or sharing.

Check before you finish

A passing build is not proof that the feature works. Reproduce the original issue, confirm the new behavior, and inspect authentication, input validation and error handling where relevant.

Common pitfalls

Do not run unfamiliar commands just because an assistant suggests them. Check destructive operations and dependency changes. Keep a rollback path for deployed changes.

Tools to consider

Match the tool to your inputs, budget and required controls. Check current provider terms.

Compare 3 tools →
Trending pick

AI code editor and coding agent for project-aware changes, task delegation, review, and connected development workflows.

Best for: Project-aware coding agents and reviewable code changes

Keep in mind: Free is $0 with limited agent and chat requests. Plus is $8 a month, Premium $30 (4x Plus usage), Super $100 (15x) and Ultra $200 (50x), with Teams from $30 per user a month and custom Enterprise. Third-party models are billed separately at API list price, and some plans bundle Grok and X features.

Sources reviewed 2026-10-15

Coding & Development

GitHub's AI coding tools for editor assistance, agents, code review, and issue-to-pull-request workflows.

Best for: Coding assistance in an existing GitHub development workflow

Keep in mind: Free provides limited chat and agent usage. Paid plans include larger allowances; agentic features consume GitHub AI Credits and can involve additional usage charges.

Sources reviewed 2026-10-06

Coding & Development

AI app builder with a browser workspace, agents, databases, integrations, and deployment tools.

Best for: Building and iterating on an app in a browser workspace

Keep in mind: Free entry access and paid plans differ in agent usage, projects, collaborators, and included credits. Paid Core and Pro add capacity; consumption limits apply.

Sources reviewed 2026-10-06

Coding & Development

Your starting prompt

Adapt this template to the workflow. Use permitted attachments and keep facts you can verify.

Turn a feature request into an implementation contract for a coding assistant.
Feature request: {{feature}}
Repository context: {{repository context}}
Constraints: {{constraints}}
Expected user behavior: {{acceptance behavior}}
Produce: objective, in-scope changes, files to inspect, unresolved questions, acceptance checks, validation commands and a rollback approach. Define observable before-and-after behavior. Do not invent file names, dependencies, credentials or test commands absent from the supplied context; mark them as inspect-first. Require the agent to preserve unrelated changes, avoid printing secrets and report actual checks performed. Ask only questions that block meaningful progress.
Text & code
ChatGPTCoding & Development

Write a Clear Task Contract for an AI Coding Agent

Turn a feature request into a task contract for developers in ChatGPT: scope, files to inspect, acceptance checks, validation commands and open questions.

Illustrative output

Illustrative input Feature: save a published prompt, reload the page, and retrieve it. Draft records must remain unavailable. Reference output / expected behavior Acceptance contract: save by stable slug; fetch published database records; show a missing-resource state; verify reload and unpublished cases. Stop before deployment. Check A happy-path check alone is insufficient; verify removed records and failed request

Build the skill behind the workflow

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