See what happened. Find what matters.
When a build fails, your agent needs direct feedback. Adios links build logs, runtime streams, and health checks directly to the workspace, allowing your AI agent to independently diagnose, fix, and verify its own code changes.
IN PRACTICE
Trace a dashboard release from source to traffic.
Run adios up, inspect its build output, open runtime logs, list the application versions, and confirm which ingress route points at the current release.
adios up
adios logs dashboard --build
adios logs dashboard --runtime
adios apps builds dashboard
adios ingress listHOW IT WORKS
Trace the same release from source to live traffic.
- 01
Deploy from Adios or the CLI.
- 02
Inspect build and runtime logs from the app dashboard or terminal.
- 03
Use route, version, replica, and workflow state to understand what changed.
WHY IT BELONGS HERE
A log line without its deploy context only tells half the story.
When build output, process logs, route state, and release history live in different tools, finding the change that broke production becomes a reconstruction exercise.
Open the log stream for the stage you are debugging
Keep dependency and compilation output separate from the running process.
Connect output to deploy state
See which source, build, version, replica, and route a log belongs to.
Inspect from the terminal or dashboard
Use the same operational model without switching between unrelated tools.
What’s included
- ✓ Build logs and runtime logs
- ✓ Replica health and route state
- ✓ Workflow run logs
- ✓ Source artifacts and deploy records
Make the next release easier to understand.
Deploy through one path, then inspect its build, runtime, replica, version, and route state without switching systems.
CONNECTED CAPABILITIES
Keep building.
Adios Deployments
Adios makes deployment simple, predictable, and agent-driven. By keeping your build, test, and startup settings in adios.yaml, your AI agent can configure and deploy healthy, production-ready releases automatically.
Explore →02 /Workflows & Automation
Define webhook integrations, scheduled tasks, and multi-step processes in clean, declarative YAML. Your AI agent can easily build and modify backend pipelines while you inspect every run, input, and output.
Explore →03 /CLI & Local Development
Work in your preferred local editor and sync with your AI agent's remote Adios workspace. The Adios CLI lets you push source edits, tail build logs, manage secrets, and run deployments directly from your terminal.
Explore →