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Unblocked

Unblocked is a context layer for agentic software development, providing AI agents with trusted context across code, conversations, issues, docs, and production systems to complete work correctly with less human intervention.

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Unblocked is designed to enhance agentic software development by providing AI agents with a comprehensive context layer. It integrates with a team's codebase, documentation, tickets, and conversations, making this information accessible through various interfaces like MCP, CLI, Slack, web, and API. This context engine helps AI coding agents and engineers complete tasks with minimal human intervention by offering a shared understanding of the organization.

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Unblocked addresses the challenge of scattered information by turning it into actionable context. It resolves conflicts, enforces permissions, and optimizes relevance and cost. The platform connects to various tools and systems, such as GitHub, GitLab, Bitbucket, Slack, Jira, and Confluence, allowing seamless integration into existing workflows.

The platform offers features like AI code review, developer Q&A, CI failure analysis, and incident management. It ensures that agents work efficiently by providing them with the necessary context, reducing wasted tokens and improving task outcomes. Unblocked is designed with security in mind, maintaining SOC 2 Type II compliance and ensuring that customer data is isolated, authorized, and encrypted.

Unblocked offers flexible pricing plans, including a 21-day free trial with full access to all features. It supports enterprise-level deployments and allows for custom integrations via its API. The platform is trusted by leading engineering teams for its ability to provide decision-grade context, enhancing productivity and reducing the need for constant human oversight.

  • CategoryAI Knowledge Management
  • Pricing ModelSubscription
  • DeploymentCloud
  • PlatformsWeb

  • Context engine for agentic software development

  • Integration with codebases, docs, and conversations

  • AI code review and developer Q&A

  • CI failure analysis and incident management

  • Conflict resolution and relevance optimization

  • Permission-aware context delivery

  • Organizational memory and expertise topology

  • Seamless integration with existing tools

  1. Configure: Connect your codebase and tools

  2. Use: Access context via MCP, CLI, Slack, or API

  3. Optimize: Enhance agent efficiency with context

  4. Integrate: Seamlessly connect with existing workflows

  • AI code review
  • Developer Q&A
  • CI failure analysis
  • Incident management
  • Onboarding

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