Positioning
Compare AI coding tools by their workflow: how a task starts, which rules apply, which checks run and who merges the result. Anvil Coder starts from tickets and specifications and delivers draft pull requests in the hosted service.
These are workflows, not fixed product categories. A tool can support several of them; compare the configuration you would actually use.
| Workflow | Task starts with | Useful when |
|---|---|---|
| Editor assistance | A change you are making in an open file. | You want suggestions while writing and reviewing code. |
| Interactive agent | An instruction and follow-up conversation. | You need to explore a problem and adjust the approach as you learn. |
| Ticket-based implementation | A written task, repository and project rules. | You can describe acceptance criteria before implementation begins. |
Anvil Coder uses the ticket-based workflow. Supervision is configurable per project; without a configured level, the run proceeds without intermediate approval. The hosted service returns a draft pull request for human review.
Use a small, representative ticket to compare workflows. Record the time spent describing the task, reviewing the changes and correcting the result, as well as model usage. Fast generation alone does not establish that a workflow saves your team time.
Check whether the tool can use your repository, tracker and project rules. Inspect which tests actually ran and which actions needed approval. Include maintenance and review in the evaluation.
Our reference run shows artifacts and an unresolved verification limit. It is one run, not a general throughput benchmark.
The question is therefore not "which model writes better code". It is: how large is the unit you can hand over to a system without losing control? That is exactly what the phase gates and the guardrails are for — they make the handover larger without making it blind.