Use case
Engineering productivity agents
Engineering teams burn cycles on review queues, ticket grooming and release notes. A Dezifi eng-productivity agent watches GitHub and Jira so engineers can stay in flow.
What you'll learn
- How to design an agent that understands diffs and commits
- Which GitHub and Jira events to drive workflows from
- How to scope write access safely
- How to ship release notes that don't embarrass the team
The agent design
Engineering work needs strong code reasoning. Cost is dominated by diff size, so context budgeting matters.
- 1
LLM choice
Claude Sonnet or GPT-4o for diff review and release-note synthesis. Stick to a single high-quality model — quality matters more than cost here. - 2
Tools
GitHub (read PR, post review comments, label issues), Jira (read tickets, transition status, link PRs), Linear if applicable, Slack for digest delivery. - 3
Guardrails
No secret leakage — scan tool outputs for tokens, API keys, private URLs. Approval required before any branch merge action. Read-only on Jira ticket fields except labels. - 4
Workflow shape
Trigger on GitHub webhook (PR opened, PR ready for review). Step 1: agent reads diff and linked Jira ticket. Step 2: posts a review comment summarizing risk areas. Step 3: weekly cron emits release notes from merged PRs.
Tools to connect
- GitHub — PR review comments, issue labels, repository search.
- Jira — ticket state, link PRs back to tickets, surface acceptance criteria.
- Linear — alternative for teams not on Jira.
- Slack — daily digest of stale PRs, blockers, and release-note drafts to #engineering.
How to set this up in Dezifi
- 1
Connect GitHub
Integrations → GitHub → install the Dezifi GitHub App on the repos you want covered. Scope to read PRs and write comments only. - 2
Connect Jira
Integrations → Jira → OAuth. Limit to the project keys engineering owns. - 3
Create the agent
New Agent → "PR Review Buddy". Attach GitHub, Jira and Slack. Use Claude Sonnet. - 4
Build the PR-review workflow
Workflow trigger: GitHub PR ready_for_review event. Step 1: fetch diff + linked ticket acceptance criteria. Step 2: agent produces a review with sections (Summary, Risks, Test Coverage, Suggestions). Step 3: post as a GitHub review comment. - 5
Add the release-notes workflow
Separate workflow, weekly cron. Pull merged PRs from the past 7 days. Agent groups by area and drafts release notes. Post to Slack for engineering to edit before publishing.
Frequently asked questions
- Does the agent replace human code review?
- No. It produces a first-pass review focused on risk areas, missing tests and divergence from the linked ticket. Human reviewers still approve merges.
- How do we keep the agent out of sensitive repos?
- Install the Dezifi GitHub App only on the repos you want covered. Use repo-scoped policies to restrict the agent further if needed.
- Will it leak proprietary code to the LLM provider?
- Use a model provider with no-training contractual terms (most enterprise tiers), or self-host an LLM. The platform supports both — pick the deployment that matches your data policy.
- Can it auto-merge trivial PRs?
- Technically yes, but treat auto-merge as a separate workflow with strict policy gates — only docs-only or dependency-bump PRs from trusted bots, never code changes.