InfraStudio Agents Start free
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AI agents that watch your product and ship the fixes

InfraStudio Agents reads your visitor numbers and your errors, finds what is costing you customers, and writes the change. A second AI reads it too. Nothing goes on your product without your yes, unless you turn on Auto-merge.

Start free See how it works

Works with your own AI accountHosted in the USFree plan

What is InfraStudio Agents?

InfraStudio Agents is a set of AI agents that read your visitor numbers, your error reports and your code, turn what they find into ranked suggestions, and make the changes you pick as pull requests: a proposed change on GitHub, which a second AI also reads. It connects to tools including GitHub, Google Analytics 4, PostHog, Sentry and Microsoft Clarity. You bring your own AI account and pay your AI provider for what the agents use. The service runs in the United States, in Amazon's data centres in Virginia.

What the agents don't do

They do not prove that a product decision is right, they do not promise a change without mistakes, and they do not replace your own tests and checks. They cannot change the protected files that decide what runs on your servers: the settings of your automatic checks, deploy files, database migrations, dependency lists and secrets. You choose what gets made. A person normally gives the final yes. The optional Auto-merge, which lets the agents give the final yes, starts off, and works only after the tests, the second AI's review and the other checks pass.

Set up your first product, read the answers about cost and what works with what, or see who runs the service.

Works with the tools you already run

GitHubJiraGoogle Analytics 4PostHogSentryMicrosoft Clarity AnthropicOpenAIAWS BedrockAzure OpenAISlackTelegram

Why InfraStudio Agents

Most AI dev tools start from a ticket. These agents start from your users.

Someone has to notice that sign-ups dropped, that a page is slow on phones, or that an error hits paying customers. The agents do that every week, then do the work, and you decide what changes.

  1. 01

    See

    Every week the agents read your visitor numbers and your errors, and write a short report: what changed, why it matters, and the proof.

  2. 02

    Decide

    Every suggestion has a yes and a no. You can also ask for the plan first, or ask for a different change, with a note if you like. Answer on the website, in Slack, in Telegram or by e-mail.

  3. 03

    Ship

    Agents write the change and a second AI reads it. When a test fails, an agent finds the cause and can add a change. You give the final yes, and the agents follow your own deploy until the change is live.

How it works

Set up in minutes. Nothing to write first.

The agents, their instructions and their timetable are ready when you sign up. A repository (where your code is kept on GitHub) can change any of them with its own .agents/ folder.

  1. Connect your code

    Install the InfraStudio app on GitHub, and choose which of your products the agents may work on. Each job reaches only the code of the product it works on.

  2. Connect your AI account

    Anthropic, OpenAI, AWS Bedrock or Azure OpenAI. Your provider bills you directly; we add nothing on top.

  3. Connect your numbers

    Google Analytics, PostHog, Sentry and Clarity. The agents can only read them.

  4. The agents get to work

    The first weekly check starts at once. Suggestions arrive where your team already talks.

Agents ready on day one

A team of agents, each with one job

Turn each one on or off for each product, choose its AI model and its timetable, and decide what needs your approval.

  • Product review

    Reads your visitor numbers and your errors, and suggests what to change first to win and keep more customers.

    Compare PostHog AI

    Every week, or when you ask

  • Error triage

    Groups new errors from Sentry, tells real problems from noise, finds the cause, and suggests a change.

    Compare Sentry Seer

    Every day

  • Implementer

    Writes a plan, then the change as a pull request, and redoes it from your comments until it is right.

    When you say yes, or a GitHub issue (a task written on GitHub) gets the label agent:implement

  • PR reviewer

    Reads every pull request, your team's too, with comments on the lines, a summary and a verdict.

    Compare CodeRabbit and Copilot code review.

    Every pull request

  • CI fixer

    When the automatic tests fail on a pull request, finds the cause and writes it in a comment. It can also add the change, if you allow it.

    When the tests fail

  • Issue triage

    Labels new GitHub issues and Jira tickets, finds duplicates, and drafts a plan for the real ones.

    A new issue

  • Docs updater

    Opens a pull request that brings the documentation in step with the latest changes to your code.

    Every week

  • Project chat

    Answers questions from your code, your reports and your live numbers, and saves what you ask for as a suggestion.

    Any time

Choose the right agent workflow

Compare CodeRabbit, Copilot code review, Sentry Seer and PostHog AI with InfraStudio Agents, including where each is the better fit.


Compare alternatives

From signal to shipped

One loop, from what users do to what you deploy

Follow the whole way from a number to a change: the proof, the suggestion, your yes, the work and the checks.

  1. NoticedIn your numbers, your errors or your requests
  2. SuggestionRanked, with the proof
  3. Your first yesFrom any channel
  4. PlanWhat will change, and the risks
  5. Pull requestInside the limits you set
  6. TestedBy tests and a second AI
  7. Your final yesWritten in the history
  8. On your productFollowed until it is live

Bring your own AI

Your AI provider, your bill

The agents use the AI you choose, through your own AI account. You pay your AI provider directly, so we add nothing on top and there are no surprises from us. We record what each job uses, and show an estimate of its cost when the platform's operator has set the prices of the models.

  • An AI model for each agent. A strong one for reviews and code, a fast one for the chat and for sorting.
  • Your key stays hidden. The platform adds it to each request, so the agents never see it.
  • Your data stays yours. We don't train models on your code or data.
AnthropicClaude, through Claude Code
OpenAIGPT models, through Codex
AWS BedrockClaude in your own AWS account
Azure OpenAIOr any service that works like OpenAI

Security by design

Built so your security team can say yes

Agents change your product, so the platform assumes they can be wrong and limits what they can touch.

A locked room for every task

Every job starts in a new, closed space of its own, which is deleted afterwards. Nothing is shared with other jobs or customers.

Agents never see your keys

The platform uses your keys for the agent, so the agent never sees one. Keys are stored encrypted.

Agents only read your other tools

In your analytics, your error reports and your other connected services, agents get only tools that read. A tool that would change data is hidden from them and refused. Changes to your code come only as pull requests.

You decide what goes live

People choose what gets made, and normally give the final yes. The optional Auto-merge can give it after the checks, the second AI's review and the tests pass. Every final yes is written in the audit log.

Guarded changes

Built-in rules keep the agents away from the files that decide what runs on your servers: the settings of your automatic checks, deploy and container files, database migrations, dependency lists and secrets. Add rules for your other sensitive files, and set a limit on the size of a change.

Everything is written down

Every sign-in, job, tool use and change is in the audit log, the history of your workspace. Your data is stored in the United States (Virginia), encrypted with your workspace's own key, which our staff can't use.


How the platform keeps your code and keys safe →

Example
Why did fewer people buy last week?
Mostly because of iPhones. 41 customers got an error after they confirmed their card with the bank. On computers nothing changed. I saved this as suggestion F9. Press Yes on it, or type implement F9, and I will work on it.
Answered from your error reports, your visitor numbers and your code
implement F9

Where your team works

Ask your project anything

Each product has a chat that knows your reports, your numbers and your code. Ask why a number moved, what a suggestion means, or what to do next. To act on a suggestion, type a command such as implement F9.

Website Slack Telegram E-mail

Pricing

Pay for the platform, not for tokens

Plans differ by how many products you have and how many jobs the agents may do. Every plan has every agent and works with every AI provider.

Free

Try it on one product.

€0
forever
  • 1 product
  • 30 jobs a month

Pro

For a product team with a few repositories.

€49/ month
excl. VAT
  • 3 products
  • 300 jobs a month
Recommended

Team

For companies running agents across products.

€199/ month
excl. VAT
  • 10 products
  • 1,500 jobs a month

Enterprise

Limits made for you, and a written promise of service. Sign-in through your company's own system, and hosting in your own cloud, are planned.

Custom
 
  • Unlimited products
  • Unlimited jobs


Compare plans

Get started

Let your agents find the next fix

Create your account, connect your code and your AI account, and the first weekly check starts at once.


Create your account