// Software delivery
Automate the repetitive work around software delivery
An example of moving a requirement through specification, implementation, tests, review and release, with a coding agent doing routine steps and people approving every gate.
Automation Example. Example workflow, not a customer case study.
The situation
A requirement travels by hand between the task tracker, chat, the repository, CI, QA, documentation and deployment tools. Developers and managers spend time coordinating steps that repeat for every change.
Before automation
- SystemA requirement appears in Jira or Linear
- PersonSomeone rewrites it as a task and explains it in Slack
- PersonDeveloper implements it and opens a pull request
- PersonReviewer is reminded to review
- PersonQA is asked to check staging
- PersonRelease notes are written by hand after the deployment
Where the work breaks
- Requirements lose detail between tools.
- Reviews and QA wait for reminders.
- Routine changes take the same coordination as complex ones.
- Release notes and documentation lag behind.
- Nobody sees where a change is stuck.
What Agentoriq automates
Illustrative sequenceStatic view
- TriggerA requirement is created
- AIIt is turned into a structured specification
- AutomatedAn implementation task is created
- AIA coding agent implements the change
- AutomatedTests run
- SystemA pull request is opened
- AIAI review comments on the change
- Requires approvalA developer reviews and approves the pull request
- AutomatedThe change is deployed to staging
- Requires approvalQA confirms the change on staging
- Requires approvalA responsible person approves the production release
- SystemThe change is deployed to production
- ResultRelease notes are generated
Systems connected
Each system is connected through its available API, webhooks, database access or a custom connector. The approach is confirmed during the audit.
- Jira
- Linear
- Slack
- GitHub
- CI
- Staging and production environments
Human control
- AutomatedTask creation, test runs, staging deployment and release notes
- Requires approvalEvery pull request
- Requires approvalQA sign-off on staging
- Requires approvalEvery production deployment
- Human decisionArchitecture and product decisions
After automation
- TriggerA requirement is created
- AutomatedSpecification, implementation, tests and the pull request are prepared
- Requires approvalPeople review, test and approve the release
- ResultThe change is in production with release notes
Expected outcomes
- Less coordination work around each change.
- Fewer steps waiting for a reminder.
- Documentation and release notes that keep up.
- Clear visibility of where each change stands.
- People review and decide; routine steps run on their own.
Show us the workflow your team still handles manually.