EnsureFix

Only if you tell it to, and the setting is per stage rather than all or nothing. Auto merge runs on confidence and you decide where the bar sits, so a team can start with every stage stopping for a person and move the bar as the logs earn it. The honest recommendation for a first month is that nothing merges unattended: read what it produces, find out which classes of ticket it handles well, and open the gate on those. Teams that switch it fully on immediately are not moving faster, they are just finding out later.

Small, clearly written ones where the change is contained and the repository already shows the pattern to follow. A dependency bump, a validation rule, a copy change across several files, a bug with a reproduction attached. What it handles badly is the ticket that is really a design decision wearing a bug's clothing, and the one whose description assumes context that exists only in somebody's head. That is not a limitation you can prompt your way out of: if a new developer could not action the ticket without asking three questions, this cannot either, and the fix is the ticket rather than the tool.

You read the diff, and it is written to be readable. It shows the reasoning behind each decision it made, comments inline on its own change with style violations and best practice notes, attaches a severity score, and where the code it touched had no tests it writes them. When a test fails it goes back and repairs the change rather than handing you a red build, and it recovers the same way from a failed CI run. None of that removes review. It moves review from working out what the change does to deciding whether it should exist.

It writes in the shape your repository already uses rather than imposing its own, which matters most in exactly the codebases people are embarrassed about. You can also ask it questions about the repo while it works and the answers come back with the files behind them, which is often the first useful thing a team gets out of it: a fast answer to where is this handled, in a codebase where nobody left is sure. Repositories that genuinely defeat it are the ones no human can work in either, and that is a different project.

A webhook from Jira, GitHub or Azure DevOps hands over the ticket. Nothing is copied and pasted and nobody has to remember to start it, which is the point: the moment a workflow requires somebody to notice and trigger it, it becomes another thing that happens when people are not busy, which is never. You keep the tracker you have. The change is that a ticket reaching a certain state starts producing a pull request instead of waiting for a week where somebody has a spare afternoon.

Static analysis on every commit with CWE tracking, hardcoded secrets and API keys, SQL injection and cross site scripting. Configuration scanning for insecure Dockerfile, Terraform and Kubernetes settings. Vulnerable dependency checks and licence compliance. UI bugs get reproduced in Playwright with screenshots, console output and network traffic captured, which turns cannot reproduce into an artefact somebody can look at. It is worth being clear about what this is not: scanning finds the classes of defect that are findable by pattern, and it does not replace somebody thinking about your threat model.

No. That is the question every engineering team asks first and it deserves a plain answer rather than a paragraph about enterprise grade infrastructure. The related question, which gets asked less and matters as much, is what happens to the code in transit and at rest and who at your end can see what: that is worth settling in writing before a pilot rather than after, because it is the question your own security team will ask you when they find out this is running against the main repository.

You close the pull request, which is the cheapest failure mode in software and the reason this shape works. A wrong branch costs nothing; a wrong deploy costs a day. Design the arrangement so its mistakes land where they are cheap and it becomes useful quickly. The thing to watch is not the rate of bad pull requests, it is whether reviewing them costs more than writing the change would have. Track that for a month on real tickets, and if the answer is no for a class of work, it is the wrong tool for that class and that is fine.