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Expose /jobs, /dedup, and /events routes backed by a new EventBus that broadcasts job lifecycle and per-job progress over SSE. Serve a static dashboard from front/ that lists pending and in-progress jobs, streams agent activity, and shows completed reviews. Also add migrate-apply/migrate-generate scripts that load .env, update the Containerfile to ship the front assets and use the apply script, and refresh the roadmap.
3.2 KiB
3.2 KiB
Roadmap
1.2 — Sandboxed reviews — delivered
- Run each pull request review in an ephemeral Dev Container.
- Let the model explore the checked-out repository through read-only tools instead of sending the source code in the prompt.
- Anchor review comments to changed lines and classify findings by severity.
1.2.1 — Default Dev Container — delivered
- If a repository has no Dev Container configuration, run its review in a default container based on
debian:stable-slim. - Use
/workspaceas the workspace path for the default container and as the fallback whenworkspaceFolderis not specified.
1.3 — Durable jobs & resumption — planned
- Persist review jobs and their progress in PostgreSQL so in-flight work survives a restart and can be resumed instead of being lost.
- Expose an API to retrieve the list of jobs by state: running, pending, and review done.
- Stream job events over Server-Sent Events (SSE) so clients see status changes in real time.
1.4 — YAML configuration — planned
- Add a YAML configuration file as the primary way to configure Steep, replacing part of the current environment variables.
- Move non-secret settings such as the model, timeouts, concurrency limit, and sandbox iterations into the file, and keep secrets (API keys, tokens, webhook secret, database URL) in environment variables.
2.0 — Typed action routing and implementation requests — planned
- Introduce a type-safe model output for the action Steep should take, such as
RevieworImplementation. - Route review requests (for example, “@steep, review this PR”) to the existing review flow.
- Recognize implementation requests (for example, “@steep, rename method
XXXtoYYY”) and route them to the implementation workflow. - For a request on an issue, clone the repository from its default branch and implement the requested features on a new branch.
- For a request on an existing pull request, clone its branch and implement the requested modifications there.
- When the agent's iteration loop ends, the orchestration layer automatically pushes the resulting changes: it opens a pull request for issue-based work, or updates the existing pull request branch. The agent does not receive or invoke a push tool.
- Keep implementation work isolated in a sandbox; do not modify the default branch directly.
2.1 — AGENTS.md support and multi models — planned
- Read applicable
AGENTS.mdfiles from the repository and use their project-specific instructions when carrying out implementation requests. - Allow configuring a dedicated model for pull request reviews and another for implementation requests.
- Route each action type to its configured model, with a clear fallback when only one model is configured.
2.2 — Sub-agents — planned
- Let the agent delegate well-scoped parts of a task to sub-agents that run their own iteration loop.
- Run independent sub-agents in parallel and have the main agent consolidate their results.
3.0 — Autonomous Sentry fixes — planned
- Automatically discover project errors reported by Sentry, without waiting for a user comment.
- Investigate the errors in an isolated sandbox, implement candidate fixes, and validate them before reporting the results.