Clears is an agentic software delivery platform that executes backlog work and produces reviewed pull requests.

Who should use Clears?

It is aimed at software engineering teams that want to automate and coordinate delivery work.

What does Clears help with?

It supports backlog analysis, agent execution, parallel tasks, context sharing, and pull request workflows.

How is Clears priced?

The site offers a free trial, while stable public fixed plan pricing was not found during review.

What makes Clears different?

It focuses on end to end software delivery orchestration rather than only generating or editing code.

What should buyers check?

Confirm pricing, seats, integrations, security controls, agent limits, and required human review before adoption.

Clears

Agentic software delivery platform for backlog execution and reviewed pull requests.

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What is Clears?

TL;DR

Agentic software delivery workflows
Shared context layer across agent runs
Parallel task board and background flows

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About

Clears is an agentic software delivery platform that moves engineering work from backlog items to reviewed pull requests. It coordinates AI agents across the software development lifecycle, with a shared context layer intended to preserve information across runs. The product is designed for engineering teams that want autonomous execution of software tasks while keeping visibility and control over the resulting work. Teams can connect requirements and tickets to agent sessions, run multiple tasks in parallel, and monitor progress from a task board. Clears can perform background analysis for root cause, scoping, risk, and feasibility, then execute work and prepare pull requests for review. It also exposes its workflows through MCP so coding agents can use Clears as an orchestration layer from the terminal. Its differentiator is the focus on software delivery throughput rather than code completion alone. Clears connects requirements, agent context, task execution, review, and background analysis in one system. It advertises a free trial and sales led access, so buyers should confirm current commercial terms, included usage, supported integrations, security requirements, and how much human review their workflow still requires. For FutureStack, Clears belongs in AI Agents because its primary buyer intent is orchestrating autonomous engineering agents across a backlog. It is best for teams that want parallel agent execution, shared engineering context, MCP control, and a visible path from requirements to reviewed pull requests.

Use Cases

Backlog execution

Turn engineering backlog items into agent-run implementation work and reviewed pull requests.

Parallel engineering

Run multiple software tasks in parallel while tracking progress, context, and outputs.

Root cause analysis

Investigate bugs, scope work, and identify implementation risks before agent execution.

Agent orchestration

Coordinate engineering agents through MCP from requirements to implementation and review.

Key Features

Agentic software delivery workflows
Shared context layer across agent runs
Parallel task board and background flows
MCP control from developer terminals

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