Risky input handling
Flag new input paths without validation or a useful error message.
Speed up code review
Let an assistant flag common mistakes, forgotten tests and surprising changes so people can focus on user impact and difficult decisions.
In plain language
A review assistant reads changed files, reports familiar problems and checks whether tests or documentation were affected. It is most useful for rules that recur across many changes. It cannot try the feature like a user, but it can reveal obvious omissions earlier.
Good tasks to delegate
Where automated review helps.
Flag new input paths without validation or a useful error message.
Notice behavior changes that have no matching test or documentation update.
Highlight files with no clear connection to the stated task.
How to set it up
Begin with a few common problems and improve the rules from real results.
List the five mistake types most often missed in your project.
Provide the task, the proposed change and short project rules.
Require each note to name the file, location and plain reason.
Keep useful checks and remove rules that repeatedly create noise.
Where you still look yourself
Correct product behavior cannot be decided from code lines alone.
Continue
See which jobs coding agents can complete, which tools they use and when a normal AI chat is the quicker and simpler choice.
Automate task preparationConnect the task, project access and existing tests in a repeatable path that prepares small programming jobs as complete proposed changes.
An agent on your own hardwareKeep source code and the model on your own network, connect editor and tools deliberately, and choose a setup fast enough for real project work.
Technical references are linked to the original project or manufacturer documentation.