An AI assistant for developers: tests, change descriptions, reading unfamiliar code and logs
Architecture and production code stay with you. The assistant takes the scaffolding: explaining an unfamiliar module, draft tests, change descriptions for colleagues, migrating repetitive code and reading logs.
What it does
- explains an unfamiliar piece of code and maps out how it connects
- drafts tests for a finished function
- writes up the changes for colleagues and for the client
- migrates repetitive code to a new library or syntax
- works through the logs and narrows down the cause of an error
What it does not do
The limits are set in advance
- does not make architectural decisions for you
- does not ship code to production without your review
How much time it frees up
By our reviews, a developer spends roughly
12 hours a week on the routine listed above — more than a third of the working week. The assistant does not take all of it: some tasks you will still be checking. But checking something finished is faster than doing it from scratch, and the gain lies in exactly that difference.
How it works
The assistant is deployed alongside your existing workflow and speaks the language of your stack. It does not try to replace the engineering decision — it removes the scaffolding that leaves you only half a day for the decision itself.
How the assistant handles a developer's tasks
An unfamiliar module in ten minutes instead of an hour
You got a task in a part of the project someone else wrote. From the sources the assistant explains what the module does, which functions are called from where, where the state is, where the side effects are, and draws a dependency diagram. You read the breakdown and start with the task, not with the excavation.
Draft tests for a finished function
The function is written, there are no tests and no desire to write them. The assistant writes a set: normal cases, boundaries, empty inputs, errors — on your test framework and in your naming style. You remove the excess, add your own and run them. It does not claim the tests pass — it only writes them.
A change description for colleagues and the client
Before the merge you need a text: what changed, why, how to verify, what might break. The assistant assembles it from the diff and your notes in two versions — technical for review and plain for the client, without jargon.
Migrating repetitive code
The library updated, the syntax changed, and there are forty call sites. The assistant migrates the repetitive places by the rule you set on one example and flags those where the rule does not fit. You check the doubtful ones and run the tests.
Logs: from a wall of text to three hypotheses
The error reproduces once a day, the logs are a megabyte. The assistant extracts the sequence of events before the failure, matches it to the code and narrows it down: three places where it can break and what to check in each. The diagnosis is yours.
What the dialogue looks like
You: Write tests for parse_invoice() in billing/parse.py — pytest, style as in tests/test_orders.py. Special attention: empty string and a date without a year.
Assistant: 9 tests: 4 normal cases, empty string, date without a year, two dates in different formats, negative amount, extra spaces. Fixtures taken from conftest. Not sure what should happen on a negative amount — an exception or zero; I expect an exception and marked it TODO.
You: Exception is right. Remove the TODO and add a test for an amount with a comma.
Assistant: Done, 10 tests in tests/test_parse_invoice.py. Running them is yours.
What we need from you at the start
- Read access to the repository or a code archive — without push rights.
- The stack and conventions: language, frameworks, test runner, linter, naming style.
- An example of a good change description and of a good test from your project.
- What the assistant does not do: it does not commit, deploy, or touch secrets and production configs.
Implementation timeline
The first conversation — which stack and what takes time besides the code itself. Setup for the repository and conventions — three to four days. A week of parallel work: the assistant writes tests and descriptions, you correct the style; from the second week corrections are occasional.
Frequently asked questions
Does it write production code?
No. It writes drafts — tests, migrations, descriptions — which you read and run yourself. Commit, review and deploy stay with you; it has no write access to the repository.
No. It writes drafts — tests, migrations, descriptions — which you read and run yourself. Commit, review and deploy stay with you; it has no write access to the repository.
Which languages does it work with?
Python, JavaScript and TypeScript, PHP, Go, Java, C#, SQL and other common stacks. The stack and conventions are set at the start, and it adjusts to them.
Python, JavaScript and TypeScript, PHP, Go, Java, C#, SQL and other common stacks. The stack and conventions are set at the start, and it adjusts to them.
What about closed-source code?
The assistant is deployed so that the code does not leave the perimeter you agreed on: read access to the repository or local archives, without secrets and production configs.
The assistant is deployed so that the code does not leave the perimeter you agreed on: read access to the repository or local archives, without secrets and production configs.
How much does it cost?
Task analysis and setup — from 12,000 ₽, 5–7 days. An extra scenario — from 3,000 ₽, support — from 4,000 ₽ a month, optional.
Task analysis and setup — from 12,000 ₽, 5–7 days. An extra scenario — from 3,000 ₽, support — from 4,000 ₽ a month, optional.
What it costs
Task review and configuration of one assistantfrom ₽12,000 (≈ $142)
An extra task beyond the basic fivefrom ₽3,000 (≈ $36)
Training for you or a member of stafffrom ₽5,000 (≈ $59)
Support and adjustments, per monthfrom ₽4,000 (≈ $47)
Build an assistant like this
Tell us which tasks eat the most of your time, and we will say which of them are worth handing to an assistant first and which are better kept for yourself.
Message our Telegram bot — instant reply
or leave a request via the form below — we reply within 30 minutes