AI agents that watch your product and ship the fixes
InfraStudio Agents reads your analytics and errors, finds what is costing you users, and turns it into reviewed pull requests. Your repositories, your AI provider, and your choice of what gets implemented.
Bring your own AI keyHosted in the USFree plan
What is InfraStudio Agents?
InfraStudio Agents is a platform of AI agents that read product analytics, error reports and repository code, turn the evidence into ranked findings, and implement selected work as reviewed pull requests. It connects to GitHub or GitLab and to sources including GA4, PostHog, Sentry and Microsoft Clarity. You bring your own AI provider account and pay that provider for tokens. The hosted service runs in AWS US East, Virginia.
What the agents don't do
They do not prove a product decision is right, guarantee a bug-free patch, or replace your tests and review. They cannot change protected CI, deployment, dependency or migration files. You choose what gets implemented. Merges normally require a person; optional Auto-merge starts off and can go live only after its CI, review and readiness gates pass.
Set up your first project, read the cost and compatibility answers, or see who operates the service.
Works with the tools you already run
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 ships.
See
A weekly product review reads GA4, PostHog, Clarity and Sentry, and writes a ranked report: what changed, why it matters, and the evidence.
Decide
Every finding has buttons: implement, plan only, change or reject. Decide from the website, Slack, Telegram or e-mail, with a note if you like.
Ship
Agents plan, write the pull request, review it with a second model and fix failing CI. You merge, and the platform follows the deploy.
How it works
Set up in minutes. Nothing to write first.
The agents, their skills and their schedules are ready when you sign up. A repository can override any of them with its own .agents/ folder.
Connect GitHub
Install the InfraStudio GitHub App on the repositories you choose. Each run can reach only the repository it works on.
Add your AI key
Anthropic, OpenAI, AWS Bedrock or Azure OpenAI. Your provider bills you for tokens; we never mark them up.
Connect your signals
GA4, PostHog, Sentry and Clarity, read-only. Agents never see your keys.
Agents get to work
The first review runs straight away. Findings, plans and pull requests arrive where your team already works.
Agents ready on day one
A team of agents, each with one job
Turn each one on or off per project, pick its model and schedule, and decide what needs your approval.
Product review
Reads your analytics and errors, and ranks what to fix to lift engagement and conversion.
Error triage
Groups new Sentry errors, separates bugs from noise, and proposes the fix with its root cause.
Implementer
Writes a plan, then the pull request, and revises it from your comments until it is right.
PR reviewer
Reviews every pull request, your team's too, with inline comments, a summary and a verdict.
Compare CodeRabbit and Copilot code review.
CI fixer
When checks fail on a pull request, investigates and comments a diagnosis. Branch pushes are optional.
Issue triage
Labels new issues and Jira tickets, finds duplicates and drafts a plan for the real ones.
Docs updater
After a merge, opens a pull request that brings the docs in line with the change.
Project chat
Answers questions from the code, the reports and live analytics, and turns requests into findings.
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.
From signal to shipped
One loop, from what users do to what you deploy
Follow the full analytics-to-pull-request workflow: evidence, findings, approval, implementation and verification.
- SignalAnalytics, errors, issues
- FindingRanked, with evidence
- You approveFrom any channel
- PlanFiles, steps, risks
- Pull requestWithin your limits
- Review & CISecond model, fixes
- You mergeRecorded in the audit log
- DeployedFollowed to production
Bring your own AI
Your AI provider, your bill
Agents run on the model you choose, with your own key. You pay the provider directly for tokens, so there is no markup and no surprise from us. Run usage is recorded; cost estimates appear when operator-configured model rates are available.
- A model per agent. A strong model for reviews and code, a fast one for chat and triage.
- Your key stays hidden. Calls go through a gateway that adds it, so agents never see it.
- Your data stays yours. We don't train models on your code or data.
Security by design
Built so your security team can say yes
Agents act on your code, so the platform assumes they can be wrong and limits what they can reach.
A sandbox per run
Every run starts in a fresh, isolated environment that is deleted afterwards. Nothing is shared with other runs or customers.
Keys agents never see
The platform uses your keys on the agent's behalf, so the agent never sees one. Keys are encrypted at rest.
Read-only by default
Agents get only tools that read. A tool that would change data in an integration is hidden and refused.
People approve
People choose implementation work and normally approve merges. Opt-in Auto-merge can merge after its readiness, review and CI gates pass. Every merge is written to the audit log.
Guarded changes
Built-in path rules block CI workflows and selected sensitive files. Add exclusions for your other deployment, dependency and secret paths, and set a change-size limit.
Audited and encrypted
Every sign-in, run, tool call and change is in the audit log. Your data is stored in the United States (Virginia), encrypted with your workspace's own key, which our staff can't use.
Where your team works
Ask your project anything
Each project has a chat that reads the code, the reports and your live analytics. Ask why a number moved, what a finding means, or what to do next. Type a keyword to act on a finding.
Pricing
Pay for the platform, not for tokens
Plans differ by projects and runs. Every plan has every agent and every AI provider.
Free
Try it on one repository.
- 1 project
- 30 runs a month
Pro
For a product team with a few repositories.
- 3 projects
- 300 runs a month
Team
For companies running agents across products.
- 10 projects
- 1,500 runs a month
Enterprise
Custom limits and an SLA. SSO and customer-cloud hosting are planned.
- Unlimited projects
- Unlimited runs
Get started
Let your agents find the next fix
Create your account, connect a repository and your AI key, and the first product review runs straight away.