The rest of it, on the same rail
The pull request is where inline starts. The same repositories, the same models and the same console also cover what happens around the code: the cloud it runs on, the pipeline that ships it, the errors it throws, the prompts inside it, and the vendors it talks to.
One console,
opt in per area
Every area sits on the same rail, behind the same roles and permissions as the review. Nothing runs until an admin turns it on, and every automated action is priced per model and per workspace, so the bill for watching CI is as visible as the bill for reviewing code.
Included
Each part of the platform
Cloud monitoring
Connect an Azure subscription with one pasted command and read-only roles. inline turns its posture, health and spend into a prioritized list of findings.
Read moreCI monitoring
A failed run gets a root-cause comment on the pull request that caused it. Flaky tests and builds slower than their baseline collect in one list.
Read moreRuntime errors
An SDK sends the crashes your users hit. inline groups them into one issue per bug, prioritizes each one and names the change that shipped it.
Read morePrompt evals
inline finds the LLM prompts in your repository, writes happy path, edge, adversarial and boundary cases for each, runs them and grades the answers.
Read moreCompliance
inline finds the providers your code sends data to, reads the agreements you signed, and raises a finding for each provider used without cover.
Read moreAutomations
Run a review, a comment, a coding session or a notification when a pull request opens, a check fails, a schedule fires or a signed webhook arrives.
Read moreSelf-hosting
Run inline in one container beside SQL Server, Redis and blob storage, configured from the environment, with models on your own cloud accounts.
Read more
Related
Security
Advisories assessed for reachability in your code, malware alerts within minutes, remediation pull requests and an AI bill of materials per repository.
Read moreFleet
One command enrolls a Linux, macOS or Windows machine. inline maps what can reach each port and proposes firewall plans that roll back unless confirmed.
Read moreEngineering metrics
DORA figures, cycle time split by stage, and how much of the work an AI wrote, counted from the pull requests and deploys inline already sees.
Read more
Put it on one repository
Connect GitHub or GitLab, enable a repo, and the next pull request opened gets a review.