Decide between autocomplete and agents first
These are different products solving different problems. An autocomplete assistant makes typing faster and carries almost no risk: you see every character before it lands. An agent writes whole features while you watch, which is a much bigger speed-up and a much bigger review problem. Teams that buy an agent expecting autocomplete are disappointed; teams that buy autocomplete expecting an agent feel it is underpowered. Know which you are buying.
Codebase awareness is the feature that separates the good from the impressive
Every tool here completes a line well. What distinguishes them is whether they understand your repository: your conventions, your helper functions, your existing patterns. Tools that index the whole codebase produce suggestions that look like your code; tools that only see the open file produce generic code you then rewrite. Test this by asking for something that should reuse an existing internal utility, and see whether it finds it.
Budget for review, not just generation
The full accounting for agentic tools includes the reviewing. Generating a 400-line change in ninety seconds is only a win if reviewing it takes less time than writing it would have. The ratio typically improves once developers learn to give tighter instructions and work in smaller increments, but the first fortnight is slower, not faster, and teams that do not plan for that conclude the tool does not work.
The predictable second problem is that agents produce more code than the team can review, and the queue becomes the constraint within a quarter. That is what CodeRabbit and Copilot's and Cursor's built-in review features exist for, and it is worth planning before it bites. The signal to watch is time-to-first-human-comment on a pull request: when it starts climbing, you have bought generation capacity without buying the review capacity to match.
If your code cannot leave the building, that decides it for you
For a bank, a defence supplier or a medical device company, deployment is not one criterion among many. It eliminates most of this category before quality is discussed. Only a few options here run entirely inside your own network: Tabnine as a supported commercial product with air-gapped deployment, JetBrains on its enterprise tier, and Cline pointed at a locally hosted model if you have the platform capability to run one. Everything else sends your code to somebody's API. Establish which side of that line you are on first, because it takes the shortlist from fourteen tools to three.
Check the policy on your source code
Ask three questions before rolling anything out: is your code used for training, is it retained, and does the vendor offer an enterprise tier that changes those answers. Business tiers across this category generally exclude training by default; free and individual tiers frequently do not. For anyone working on proprietary or client code this is a procurement blocker, not a preference.