Know what is missing before you go to production. Your code never goes to an AI.
Point InfraLoop at your repository and get one production report: the gaps it found, the setup we recommend, and what it costs per month, calculated in code. The AI only receives a short summary of what the scan found, never your source code.
In the rare case a project has almost no code, a short part of its README may be included.
1 · Scan
2 · Answer
3 · Report
Analyze a repository
Public repo: paste the link. Private repo: upload the folder instead (secret files are never sent). Takes about a minute.
or upload your project
Drag your project folder here
Folders like node_modules and .git are skipped. Secret files (.env, keys) are never sent: only their names are noted. Your files are used for this scan only and deleted right after.
Scanning repository structure…
A few quick questions
These shape the recommendation: scale, budget and constraints a scan cannot see.
Writing your report… this can take a minute or two.
Production readiness report
Example report. InfraLoop produced this for a real public project (Google’s Online Boutique demo: 12 services, Kubernetes, Terraform), with the answers shown in the report. Nothing here is made up for the demo.
What you get
Gaps found in your repo
A table of what is missing (tests, CI, backups, monitoring, secrets), each with the evidence from your files and a severity.
A recommended setup
Which platform fits your scale and budget, and why, with the alternatives you did not pick.
A monthly cost
Calculated from list prices for the setup it recommends, and checked against your budget.
InfraLoop writes a report. It does not connect to your cloud account, generate code or deploy anything.
Coming next · expected December 2026
After the report: an agent that sees outages coming
InfraLoop checks your project before launch. The next product is meant for after launch: a continuous, non-invasive agent for your Kubernetes cluster that reads live metrics, events and the dependency graph, and flags a failure while it is still a trend, before it becomes an outage. For each warning it gives the likely root cause and a concrete fix: a kubectl patch, a manifest override or a code change.
Memory leaks
Memory that keeps climbing after each release, caught long before the OOM kill.
Disk exhaustion
A volume that will fill up, with the date it is expected to run out.
Autoscaling saturation
An HPA that is about to hit its maximum replicas while load is still rising.
Cascading latency
A slow dependency that is about to drag its callers down with it.
Also on the roadmap for InfraLoop
Writes the infrastructure files for you: a Dockerfile and Terraform for the setup it recommends, ready for you to review before you use them.
Higher accuracy in the current report: more real-world projects tested, and every finding checked against evidence from your files.
Read-only access to telemetry, no changes to your cluster unless you apply a suggested fix yourself. Interested? Use the contact button at the top.
