Unblocked
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About
Unblocked serves as the essential context layer for software engineering teams, bridging the gap between raw source code and the institutional knowledge scattered across documentation, project management tools, and communication channels. By indexing and synthesizing data from sources like GitHub, Slack, Jira, and Confluence, it provides both human developers and AI agents with a comprehensive understanding of why certain decisions were made and how a system functions. This deep integration helps eliminate the hours developers typically spend searching for historical context or sitting in meetings, allowing them to focus on building rather than digging through obsolete documentation. The platform offers a suite of features designed to streamline the entire development lifecycle. Its AI-driven code review system goes beyond simple syntax checking by grounding suggestions in the team's specific standards, architectural intent, and previous discussions. When tests fail in a CI/CD pipeline, the built-in failure agent analyzes the root cause and suggests actionable fixes. Additionally, the Unblocked MCP server allows developers to bring this rich organizational context directly into modern AI coding assistants like Cursor, Claude, and Copilot, ensuring that generated code is production-ready and technically accurate. Unblocked is ideally suited for engineering organizations looking to scale productivity without increasing overhead. It is particularly effective for teams managing complex legacy codebases where the original authors may no longer be present. CTOs and engineering managers use the tool to accelerate the onboarding process for new hires, enabling them to become self-sufficient in days rather than months. Furthermore, it serves as a powerful resource for internal support, allowing team members from different departments to find technical answers through Slack or Microsoft Teams without interrupting the engineering flow. What sets Unblocked apart is its sophisticated context engine that reconciles conflicting information across disparate data sources, treating the production codebase as the ultimate source of truth. Unlike generic AI tools that may hallucinate based on public training data, Unblocked provides verifiable answers with direct citations to the relevant files, tickets, or threads. Security is a core component of the product; it is SOC 2 Type II compliant, respects existing data source permissions, and guarantees that customer data is never used to train third-party language models, making it a reliable choice for security-conscious enterprise environments.
Pros & Cons
Reduces AI hallucinations by pulling real-time context from code, docs, and team chat.
Provides verifiable answers with direct citations to specific files and discussion threads.
Supports a wide range of enterprise integrations including GitHub Enterprise and Jira Data Center.
Enforces strict data privacy with SOC 2 Type II compliance and no data training policies.
Accelerates onboarding by letting new hires search legacy knowledge without interrupting experts.
Full integration with AI agents like Claude and Cursor requires the higher-tier Platform plan.
On-premises deployment and custom security reviews are limited to Enterprise customers.
Advanced support channels like Slack and Zoom are not available on the standard paid plans.
Use Cases
New software engineers can onboard faster by asking questions about legacy code that pull answers from historical Slack threads and documentation.
Engineering managers can automate code reviews to catch architectural issues informed by past team decisions rather than just syntax errors.
Platform architects can use the MCP server to provide context to AI agents like Claude, ensuring generated code meets specific project constraints.
Support teams can reduce developer interruptions by using the Slack integration to find technical answers about the codebase independently.
DevOps engineers can use the CI Failure Agent to quickly identify the root cause of pipeline breaks and receive suggested fixes.
Platform
Task
Features
• ai code review
• team analytics
• context-aware chat
• pr summaries
• multi-source knowledge synthesis
• permission-aware data access
• model context protocol (mcp) server
• ci failure agent
FAQs
How does Unblocked compare to other code review tools?
Most tools analyze diffs in isolation, but Unblocked grounds reviews in decision-grade context like team standards, past Slack discussions, and architectural intent. This reduces noisy comments and surfaces issues that actually matter to your specific system.
Does Unblocked use customer data to train models?
No, Unblocked is designed with a strict security policy ensuring that customer data is never used to train or retain models by any third parties or LLMs. The platform is SOC 2 Type II certified and maintains tenant isolation.
Can I verify the accuracy of the AI's answers?
Yes, every answer generated by Unblocked includes citations that link directly to the source files, pull requests, tickets, or discussion threads used. It treats your main branch as the source of truth to resolve information conflicts.
What integrations are supported?
Unblocked integrates with GitHub, GitLab, Bitbucket, Slack, Jira, Confluence, and major documentation platforms. It also connects directly to AI tools like Cursor, Claude, and Copilot through its MCP server.
Is there a way to try Unblocked before committing to a plan?
Yes, a 21-day trial of both the Code Review and Platform plans is available with full access to all features. No credit card is required to start the trial.
Pricing Plans
Code Review
USD19.00 / per user/month, billed annually• Unlimited code reviews
• Unlimited PR summaries
• Unlimited repositories
• Unlimited data sources
• CI Failure Agent
• Adaptive learning
Platform
USD29.00 / per user/month, billed annually• Connect context to Claude and Cursor
• Ask questions about history
• Ask in incognito mode
• API access
• Web-based support
• Includes all Code Review features
Enterprise
Unknown Price• SSO & advanced security
• Data Shield permission enforcement
• On-premises deployment options
• Guided security review
• Dedicated customer success
• Priority support via Slack and Zoom
• Support for GitHub/Jira Data Center
Job Opportunities
Senior AI Engineer
Provide AI tools with the context needed to generate reliable code and reviews by connecting your codebase, documentation, and team conversations in one layer.
Benefits:
Competitive base salary
Equity in the company
Medical and dental benefits
Flexible vacation policy
Choice of Apple hardware
Experience Requirements:
Extensive experience as a software engineer
Track record of building and shipping products
Practical experience with LLM applications
Expert-level software development skills
Demonstrated leadership of fellow team members
Other Requirements:
Based in Vancouver, British Columbia
In the office 4 days a week
Driven to get things done
Able to play well with others
Ambitious malcontent
Responsibilities:
Build and optimize scalable data pipelines
Design and implement end-to-end AI workflows
Integrate advancements from leading LLM providers
Contribute ideas to product discussions
Share knowledge and mentor teammates
Show more details
Senior Software Engineer
Provide AI tools with the context needed to generate reliable code and reviews by connecting your codebase, documentation, and team conversations in one layer.
Benefits:
Competitive base salary
Equity in the company
Medical and dental benefits
Flexible vacation policy
Choice of Apple hardware
Experience Requirements:
Experienced software development engineer
Expert-level skills in Kotlin and Python
Experience with microservices architecture
Experience building scalable, fault-tolerant systems
Experience with APIs and REST-ful services
Other Requirements:
Based in Vancouver, British Columbia
In the office 4 days a week
Familiarity with a Cloud Platform (AWS, Azure, or GCP)
Experience collaborating with DevOps teams
Driven to get things done
Responsibilities:
Design, build, and operate secure services
Work independently on smaller projects
Build and optimize scalable data pipelines
Build integrations with third-party services
Work closely with product designers and frontend developers
Show more details
Frontend Engineer
Provide AI tools with the context needed to generate reliable code and reviews by connecting your codebase, documentation, and team conversations in one layer.
Benefits:
Competitive base salary
Equity in the company
Medical and dental benefits
Flexible vacation policy
Choice of Apple hardware
Experience Requirements:
Solid experience as a software engineer
Intermediate-level software development skills
Experience building views using reactive technologies
Experience building applications using TypeScript or JavaScript
Experience with client data-handling techniques
Other Requirements:
Based in Vancouver, British Columbia
In the office 4 days a week
Driven to get things done
Able to play well with others
Attention to detail
Responsibilities:
Implement user interfaces and workflows
Implement designs for marketing sites and emails
Define client/server APIs
Collaborate with design team
Help define product roadmap
Show more details
Ratings & Reviews
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