Shorten the distance from event to action.
A pull request, issue, or channel command can create a scoped run immediately instead of waiting for someone to rebuild context.
Eve sends specialized agents into the same repository, at the same time. They review, implement, and verify while every run stays visible in Console.
console.skytells.ai/agentssecurefindings.jsonFound an unbounded retry path and two test-order dependencies.
Reviewable in ConsoleCloud Agents are not another chat window.
Cloud Agents turn repeatable engineering work into parallel, observable execution. Your team keeps judgment and approval while agents carry the context gathering, first pass, implementation, and verification.
A pull request, issue, or channel command can create a scoped run immediately instead of waiting for someone to rebuild context.
Review, implementation, and validation can move together while each agent preserves an independent record and output.
Runs produce named findings, patches, traces, and checklists that developers can verify before anything moves forward.
Every dispatch becomes a durable run with state, ownership, and outputs. Console gives engineering leaders and developers one place to understand what is active, what is ready, and what still needs a person.
console.skytells.ai/agents/runs/run_7f3a12securePR #128 opened
3 owned runs created
findings · patch · trace
An agent is more than a model choice. Persistent instructions define how it behaves, repository context defines what it knows, and connected channels define where work can begin.
Create an agentconsole.skytells.ai/agents/repo-reviewersecureYou are a Cloud Agent focused on pull request review.
Return structured findings with concrete next actions. Prefer minimal-risk changes. Ask for clarification when repository evidence is incomplete.
Eve translates one objective into concurrent, bounded runs. Specialists share the repository context without collapsing their work into one opaque thread.
From Console, a pull request, or a connected operational channel.
Review, implementation, tests, and handoff become independently owned runs.
They can operate in the same project and even the same file with explicit scope.
Findings, patches, traces, and checklists remain attached to their run.
Each agent owns a bounded concern while Eve coordinates the shared objective. The result is reviewable deltas, not a mystery rewrite.
console.skytells.ai/runs/run_7f3a12/filessecureexport async function handleWebhook(event) {Reviewerflags retry path const policy = await resolvePolicy(event)Implementeradds bounded policy const result = await dispatch(event, policy)Implementerapplies backoff await verifyDelivery(result)Verifiertests delivery return resultVerifierconfirms output}Once your GitHub app or Slack workspace is connected, authorized collaborators can ask Eve to investigate, negotiate the scope, and approve a direction without opening Console. The resulting run and outputs still remain visible there for operational control.
github.com/acme/complex-app/pull/128connectedJohnDoe commented 2 minutes ago · edited
@Eve conduct a focused review. If retry behavior is unsafe, propose the smallest reliable fix.
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AuthorI found two safe scopes. The minimal patch bounds backoff and adds regression proof. The complete scope adds an idempotency guard as a separate commit.
Understood. I’ll keep this to bounded backoff and a regression test. No delivery semantics will change.
Approval required for run_7f3a12 · patch.diff + checklist.mdMatch review, implementation, and operational work to the right model profile while the workflow, run record, and approval surface stay consistent.
Use Skytells models or configure leading model providers for the workload at hand.
Agent context and connected tools define the surface available to each run.
Keep consequential changes behind review and approval steps your team controls.
Cloud Agents are configured workers that execute tracked runs against repository workflows. They can review a pull request, implement a scoped change, or prepare structured output for a developer to verify.
No. A prompt is an entry point, not the destination. Each dispatch becomes a run with an identity, state, output artifacts, and a clear place to inspect the work.
Yes. Runs are independent, so teams can keep review, implementation, and verification moving together. Each result stays attributable to its agent and run.
A GitHub event can create a run with the relevant repository and pull request context. Findings, checklists, and reviewable changes return to the workflow while the Console retains the operational record.
Build your agent team in Console, dispatch the first run, and inspect every output as work happens in parallel.
Open Cloud Agents