A month testing eight AI coding tools found Cursor's diff-reviewed agent mode the standout

Point Cursor's agent mode at a file, describe the change in prose, and it produces the edit as a diff you accept or reject ^[11]. The writer used it on the dashboard's form validation and says the work felt like reviewing a junior developer's pull request instead of typing the change himself ^[11]. It was also the only tool in the set where multi-file edits felt safe to him ^[12]. His own compression of the month is the sentence worth arguing with: Copilot suggests, Cursor executes, and execution is where the real time savings are ^[12].

The Copilot complaint in the piece is about agreement rather than accuracy. Completions are fast and mostly invisible, and they finished the boilerplate he was already typing in the Python service, including error handlers, test stubs and the repetitive parts of migrations ^[8]. Chat handled the dashboard's data-fetching layer, explained legacy code and proposed refactors ^[9]. Ask it whether to split a service at one seam or another and it answers without pushing back, agreeing with whichever direction you were already leaning ^[10]. An assistant that ratifies your architecture is a mirror with a monthly bill.

The stack where the tools separated is the newer one. On the older Python service the free option closed the gap: Codeium's completions came near enough to Copilot's that in a blind test with a colleague he had to check which one was running ^[15]. Both wins he credits to paid tooling, the agent-mode diffs on form validation and the chat work on the data-fetching layer, came off the greenfield dashboard ^[11][9]. On this evidence, maintenance is the workload where a free completion engine is hardest to beat.

The transfer conditions are strict. One evaluator, ten years mostly backend ^[6], one month, two codebases, which is a sample of one per stack ^[2][19]. The account carries no timings, scores or task counts ^[19], so these are judgments, and judgments do not aggregate across teams. The licence side is cheap to copy: $190 across eight tools works out at about $24 per tool for the month ^[18]. The month of doing two real jobs eight times over is the part you cannot expense.

Detail also runs out well before the eighth tool. Copilot, Cursor and Codeium get worked examples; the Tabnine section opens on on-prem deployment, tested because a friend's company is regulated and cannot send code to the cloud ^[17], and the available text stops there, leaving Replit AI, v0, Bolt and Lovable with a single summary line about not suiting someone who lives in an IDE ^[20][7]. Read as a shortlist, it is a three-tool comparison with a footnote about the builders ^[20].