Clears

About Clears

Clears is an agentic execution platform for autonomous software delivery. It positions itself as a step beyond individual AI coding tools, aiming to handle execution across the entire software development life cycle (SDLC). The product targets R&D organizations looking to shift from AI-assisted coding to AI-led task execution.

Review

Clears enters a crowded field of AI developer tools, but its focus is broader than most. Instead of autocompleting code or generating snippets, the platform takes a task from a user story and works through implementation, testing, and CI validation. The team behind it comes from engineering leadership roles, which shapes how they frame the problem: not writing code faster, but delivering work to production faster.

Key Features

• Context layer: Clears indexes repositories along with Confluence and Notion pages, plus data from previous runs including AI sessions, code reviews, and CI results. This lets agents pull relevant context without loading the entire codebase.
• Independent test execution: The platform writes unit tests for each story, runs them, and executes a build to confirm the code passes before a PR is created.
• CI integration and auto-fix: When CI fails, Clears integrates with the pipeline to fix issues automatically. It also runs its own tests in parallel.
• Agent-based code review: A separate agent with broader context reviews the PR without being biased by the implementation approach. It posts fixes directly on the PR, which triggers another round of automatic fixes.
• Risk and complexity scoring: Before spinning up an agent session, Clears assesses expected risk and complexity of a task, informed by the context layer.

Pricing and Value

Pricing is not yet defined. The product page lists "Free Options" among its launch tags, but specifics on what those options include were not disclosed. The makers mention E2E testing is already running with customers but they have not published pricing tiers for general availability.

Pros

• Each task gets unit tests and a build run, not just generated code and a promise that it compiles.
• Context the layer grows with usage; consecutive runs apply lessons from the previous run's failures to the next set of tasks.
• The unreviewed reviewer agent acts as a second pair of eyes before a human reviewer gets involved, which can reduce the back-and-forth on a PR.
• Parallel execution of multiple tasks on the backlog allows teams to run work concurrently rather than sequentially.

Cons

• The tool is not well suited for organizations without established CI/CD practices, since the auto-fix loop relies on having CI feedback to react to.
• No public pricing details, so teams cannot accurately assess cost relative to their existing developer tool spend.
• The E2E testing capabilities are cited as in early use with some customers, but not described as a shipped feature for all users.

Clears fits teams that want to delegate task-level software delivery to an agent and spend time reviewing the results rather than writing code. It is less appropriate for organizations with highly siloed processes or no CI pipeline infrastructure, since the product depends on those integrations to validate and correct its work.

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