ALM AI brings the discipline of DevOps and full application lifecycle management to AI-assisted development. Humans and AI agents work the same backlog, follow the same process, and ship versions you can actually stand behind.
Watch the 90-second overviewAI can write an impressive amount of software in an afternoon. But without a backlog, a definition of done, reviews, versioning and release control, every prompt is a change nobody tracked, in a codebase nobody owns.
From a prompt to a versioned release — with an agent doing the work and a human holding the gate.
Presenter generated with Synthesia.
ALM AI sits between your AI coding tools and your delivery process. Agents pull from the backlog, work inside the rules you set, and hand off to humans at the gates that matter.
Turn a brief or a prompt into epics, features and stories with acceptance criteria. Agents can draft; humans approve.
Claude Code, Cursor or your own agents claim work items, branch, implement and commit against the story — not the vibe.
Automated checks, agent-to-agent review, then a human gate with the full diff, tests and rationale in one place.
Semantic versioning, generated release notes, environment promotion and approvals that match your change policy.
Incidents and bugs flow back into the backlog with the release they came from, so the next loop starts informed.
Work items carry structured context agents can act on: acceptance criteria, constraints, linked code, test expectations. Assign to a person or an agent — same board.
Define what "done" means once: tests, coverage, static analysis, security scans, human sign-off. Nothing merges — human or AI — until the gate is green.
Semantic versions, branch policies, release trains and environment promotion. Release notes are generated from the work items that actually shipped.
Every change links back to a work item, a prompt, a model, a reviewer and a release. Answer "who changed this and why" in seconds, for any line of code.
Triage, severity, SLAs and root-cause tracking. Agents can reproduce, propose fixes and open PRs; humans decide what ships.
Start from Agile, Scrum, CMMI or a lightweight "solo + agents" flow. Tune the ceremonies, keep the rigour.
Keep using the tools you love. ALM AI gives your agents a backlog to pull from, a branch to work in and a gate to pass — so the thing you built on Saturday is still shippable on Monday.
Your teams are already using AI to write code. ALM AI makes that visible, reviewable and compliant — with the same controls you expect from Azure DevOps, applied to every agent in the building.
Keep your backlog where it lives. ALM AI works natively with Azure DevOps Boards or Jira Software as your system of record — your agents and your people work the same items either way.
Boards, Repos, Pipelines and branch policies. Epics, features, stories and bugs sync both ways; agents claim work items and link PRs automatically.
Jira Software projects, issue types, workflows and sprints. Agents pick up issues, move them through your workflow and post status back to the ticket.
Free for solo builders. Enterprise plans for teams that need governance, SSO and self-hosting.