The short version

Choose an AI coding tool by running the same bounded tasks in your own repository. Compare accepted changes, human review time, environment fit and total cost. Documentation shows available capabilities; it does not establish which tool will perform best on your system.

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Start with the work you need to finish

An impressive demonstration does not tell you how a tool handles your authorization rules, old build scripts or undocumented business logic. For an existing product, the useful question is which workflow helps a developer deliver a change that the team can understand and maintain.

This comparison uses official documentation checked on 20 October 2026. It is a decision guide, not a hands-on benchmark. Models, plans and interfaces change; confirm the settings available to your account before committing.

Three documented capabilities worth evaluating

Codex documents Git worktrees, created in the ChatGPT desktop app, so independent chats can work on the same repository. Evaluate this if you want separate branches for bounded assignments. Separate working copies do not prevent conflicts between incompatible design decisions.

Claude Code documents custom subagents with their own context, instructions and tool access. Evaluate this if you repeatedly delegate specialist tasks such as repository research or test investigation. A specialist role does not make the result independently verified.

Cursor documents an agent that can search the codebase, edit files and run terminal commands. Evaluate this if a developer wants to supervise implementation from inside the editor. All three are evaluation starting points, not claims that any of these capabilities is exclusive to one tool.

Run the same small trial

Choose three representative assignments: reproduce a known defect, add a small feature with an existing integration, and explain a risky legacy component without modifying it. Supply the same starting revision, acceptance criteria and allowed access. Keep generated changes in separate branches.

Have a developer review each result against checks written before the trial. Record the tool, model, configuration and date. If a tool needs extra instructions or manual repair, count that effort rather than quietly excluding it.

  • Correctness: did the agreed checks pass, including a failure case?
  • Reviewability: can a developer explain the diff and its consequences?
  • Integration: did the change respect existing contracts and conventions?
  • Effort: how much human time went into setup, review and correction?

Compare the costs the subscription does not show

Use the same checklist for every candidate: permitted repository and tool access, handling of project data, local versus remote execution, supported integrations, usage charges and the work required to operate it. Verify those details against the selected plan's current documentation; a feature overview is not a data-processing agreement.

A practical trial budget includes metered usage, developer time and rework. Avoid ranking by generated lines or the speed of the first draft. A fast answer that takes longer to validate may not be the cheaper outcome.

Choose a default, then keep an exit path

Select the tool your trial results support and keep project instructions, tests and architectural decisions in the repository. Use another tool when a specific task justifies the switching and review cost. Buying several subscriptions is not itself a development process.

UVISION's dedicated developers and managed projects let you apply that process over time, with at least one full-time developer per project. The lasting asset is knowledge of the system and a reliable way to change it, even when the preferred coding agent changes.

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