USE CASES

What proactive agents
do for you

These agents do not wait to be asked. They watch the work where it happens — pull requests, issues, calls, release feeds — and take the next step on their own.

Keep pull requests moving

Agents that live in your repo and move pull requests from opened to merged.

Review every new or updated PR automatically

When a PR opens or gets new commits, run a senior review pass and post findings so the author never waits on a manual first review.

Fix review findings without another handoff

After finding issues, push fixes straight to the PR branch instead of just leaving comments — including cleaning up other bots’ comments.

Unblock PRs with failing CI or merge conflicts

Inspect the checkout when checks fail or comments arrive, resolve failures and conflicts where possible, and flag when a human is actually needed.

Notify the right person, then merge on approval

Send a threaded Slack update when the PR is ready, and merge automatically once an authorized approver signs off.

Prevent codebase entropy

A hygiene reviewer that keeps quality from sliding as the codebase grows.

Catch duplicated or dead code during review

Diagnose PRs for duplicated implementation paths, dead code, stale docs/skills/rules, and concrete code smells before the change lands.

Build a hygiene audit trail in Notion

Create a Notion journal page per run so maintainers can see what was flagged, what repeated, and where divergence is accumulating.

Track repeated issues with memory

Recall prior hygiene runs for the same repo and use workspace memory to spot recurring divergence instead of treating each PR as isolated.

Turn work requests into implementation PRs

Agents that take a request — in Linear or on a call — and open the PR that does it.

Implement labeled Linear issues automatically

When a matching Linear issue is created, classify it and start a coding workflow that opens a GitHub PR and comments the link back to Linear.

Answer Linear mentions with replies or code

When mentioned in a Linear comment or agent session, keep thread memory, decide between discussion and implementation, then reply or delegate coding.

Route prospect feature asks straight into engineering

When a Granola note arrives, detect a prospect feature ask, create the Linear issue, implement the change, open the PR, and link it back.

Stay current without manual checking

Monitoring agents that watch the outside world and bring only the signal to you.

Monitor Hacker News for your topics

Twice a day, scan HN titles for configured keywords, summarize fresh matches, and post a Slack digest — deduped so nothing reposts.

Track vendor and framework releases

Each weekday morning, check configured npm packages against remembered versions and post only the changed packages to Slack.

Get personal music release alerts

Daily, check followed Spotify artists for new albums or singles and DM you the release links newer than the last check.

Coordinate multi-agent teams

Split a single issue across specialized agents that implement and review in parallel.

Split issue solving into implement + review roles

A team lead can launch a roster where one agent implements the issue in a sandbox and another audits the branch against the spec before handoff.

Cloud Team ImplementerCloud Team Reviewer

Keep each roster member focused

The implementer makes the smallest complete change and opens one PR; the reviewer verifies tests and classifies actionable findings.

Cloud Team ImplementerCloud Team Reviewer
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