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 a person approving every merge.
Bring your own AI keyHosted on AWSFree plan
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 gets a one-hour token for one repository.
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 call them through a relay that holds the 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.
CI fixer
When checks fail on a pull request, finds the cause and pushes a fix to the branch.
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.
From signal to shipped
One loop, from what users do to what you deploy
Each step is recorded: the run, the model, the cost, the pull request and who approved it.
- SignalAnalytics, errors, issues
- FindingRanked, with evidence
- You approveFrom any channel
- PlanFiles, steps, risks
- Pull requestWithin your limits
- Review & CISecond model, fixes
- You mergeWith your password
- 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. Every run shows its token use, and its cost at the prices you set.
- 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 container that is destroyed afterwards. No shared disk, no other customer's data.
Keys agents never see
Integrations are called through a relay that holds the keys, as another user the agent can't read. 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
Plans, pull requests and merges wait for a person. A merge needs a recently typed password, not just a session.
Guarded changes
Agents can't touch CI, deploy files, migrations, dependencies or secrets, and changes have a size limit you set.
Audited and encrypted
Every sign-in, run, tool call and change is in the audit log. Your data is stored in AWS US East (N. Virginia), encrypted at rest.
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
SSO, self-hosting and an SLA.
- Unlimited projects
- Unlimited runs
Early access
Let your agents find the next fix
We are opening InfraStudio Agents to teams in small groups. Leave your work e-mail and we'll invite you when your workspace is ready.