Put an agent behind every review — without operating a fleet.
AgentSky starts one isolated cloud agent per review job, streams structured events to your product through a single API contract, and keeps that contract stable as harnesses and models change underneath. Tested across 40,835 runs and 10 agent stacks.
Every new agent model forces teams to rebuild the infrastructure behind their review workflow.
Choose something else when
Use deterministic CI analysis for fixed rules, or own the runtime when reviews require air-gapped deployment, custom kernels, or unsupported execution controls.
Starter prompt
Review the diff on [branch or PR URL] against [the standard you care about — the repo's rules file, a style guide, a past incident]. Report only defects you can point to a line for, most severe first.
How it works
Step 1
One isolated sandbox per review job
AgentSky starts a fresh sandbox for each review — no shared state, no cross-contamination between concurrent runs. Each job sees only its own repository and context.
Step 2
Structured events stream to your product
Send the job, stream results through a consistent event contract. Your product owns display and routing; AgentSky owns execution and delivery.
Step 3
Swap the stack, keep the integration
Change the underlying agent harness or model without touching your event consumer or compute setup. The API contract survives every model cycle.
What AgentSky runs
- An isolated sandbox per review
- Streaming event contract
- Stack upgrades without rebuild
Developer case study
Tycoon's code review workflow runs through AgentSky's Agent API. Tycoon configures the policy and owns the output; AgentSky provides an isolated runtime, session state, and event stream per review job.
Read the architecture account