Release Quality Assistant
Collects the checks for a specific release and highlights missing evidence so the release owner can decide whether to ship.
Use cases · Engineering Ops
Your teams ship several times a week, and QA, on-call triage, security and cloud cost struggle to keep up. AgentWorks agents run those jobs every day and hand engineers a finished first pass: the failing test, the likely cause, the proposed fix.
How this team runs on agents
Goal Illustrative
“Zero regressions in releases”
Agents own the target end to end. Every day the number is checked and what is not working gets changed.
Flow
Release check
Run the user journeys on every build, file failures with steps and screenshots, block the release if needed.
Crew
Incident expert
Answers "what changed before the errors started?" from logs, deploys and past incidents.
People
Approve the exceptions
Engineers review the proposed fix and approve the merge.
Everyone’s personal AI connects in, through AgentBridge
Claude CoworkChatGPTThe engineering lead asks Cowork "is today’s release safe to ship?"
Claude CodeCodexCursorEach engineer’s Claude Code, Codex or Cursor takes the failing test and the likely cause, and opens the fix.
SlackWhatsAppEveryone else asks and approves where they already talk.
Example goal
Ship releases without regressions
target 0. Illustrative numbers.
Premade agents
Each one comes with its goal, its tools and its guardrails. We set up the first one with you.
Collects the checks for a specific release and highlights missing evidence so the release owner can decide whether to ship.
Tries the customer journeys you choose and brings back screenshots and steps to reproduce any failures.
Builds a timeline from alerts, logs and recent releases so your engineers can investigate an incident with the evidence together.
Tracks a security finding from its assigned owner through the fix, deployment and independent recheck.
Explains changes in your cloud bill and prepares savings options with the risks for your team to review.
Works with GitHub, your CI, logs and monitoring through MCP, your cloud account, Slack and Linear or Jira. See connectors →
How it works
Pick a premade agent or describe the outcome, then agree the metric and target with us.
Agents work through your tools on a schedule. You choose which actions run on their own and which wait for a person; we agree those rules during setup.
Every run records what it did and what it moved, so you see progress, not activity.
What broke gets fixed, what didn't work gets dropped, and the next idea gets tried.
FAQ
It proposes changes as pull requests. Merging stays with your engineers.
No. It takes the first look and hands the on-call engineer the evidence and a likely cause.
Each job has its own page: release quality, incident response, security testing and cloud cost, under Enterprise.
More use cases
Book a short call. We connect your tools, pick the agent and agree the metric together.