Clears

Clears is an orchestration platform, described as an autonomous software factory, that coordinates AI agents across the software development lifecycle. It connects to a backlog, analyzes requirements, and carries tickets from requirement to a reviewed pull request, with engineers focusing on what to build, architecture, trade-offs and decisions. It is built for engineering organizations moving from AI-assisted development toward autonomous software delivery.

A user writes a story describing what should be built, answers a few clarifying questions the AI asks about the requirements, and reviews the pull requests the AI opens in GitHub, GitLab or Bitbucket. In between, Clears explores the codebase to understand the existing architecture, generates a detailed specification with a definition of done, breaks the story into subtasks, writes code for each one on feature branches, and keeps every task in two-way sync with the connected ticketing system.

Clears runs deep analysis continuously in the background, root-causing, scoping and assessing risk and feasibility so thousands of raw tickets become decisions, handled autonomously or escalated to a human as needed. A kanban-style Board shows every ticket wired to its live agent session with real-time status updates, and a memory system captures patterns, conventions and decisions from past executions so each subsequent story is more aligned with the codebase.

Through MCP, a coding agent or terminal can draw on Clears for context and run tasks that track and document themselves, pulling any one back to the terminal at any stage with full control of the board. Clears connects to GitHub, GitLab or Bitbucket, with optional Jira syncing and Slack notifications. Pro and Enterprise plans are available, the latter adding on-premises or hybrid deployment, custom integrations and custom SSO; pricing is given after booking a demo.

Use cases

• Turning Jira tickets into reviewed pull requests
• Handling thousands of raw tickets by escalating only what needs a human
• Parallelizing a whole engineering backlog across agent sessions
• Pulling a task back to the terminal at any stage for full control