Unified system context
Unblocked indexes code, documentation, tickets, and conversations to build a living knowledge graph of how a system works and why decisions were made.
Unblocked란 무엇인가요?
Unblocked is a context engine for engineering teams and AI coding agents. It turns code, docs, tickets, conversations, and related system data into actionable context so people and agents can work from grounded information instead of piecing together scattered sources by hand.
The product is designed to reconstruct how a system actually works, reconcile conflicting information, and deliver cited answers where engineers already work. The site shows use across code review, agent chat, Slack, the terminal, the web, MCP, and API-driven workflows, with pricing tiers for Code Review, Platform, and Enterprise customers.
Unblocked(으)로 무엇을 할 수 있나요?
Conflict resolution
It resolves conflicts by weighing signals such as recency, authority, and proximity to the work, then returns a reconciled answer with relevant links.
Permission enforcement
Unblocked respects access controls from connected tools and applies permission-aware access with auditability across the team.
Personalized relevance
The product personalizes results to the user's work, such as repositories contributed to, systems modified, and terminology tied to current focus.
Token optimization
It reduces token waste by compressing and assembling scored context server-side before sending it to an agent.
Multi-surface delivery
It can surface context in Slack, the terminal, the web, MCP-connected agents, and API-based workflows.
사용 사례
“Agent-assisted coding”
Use Unblocked to give AI coding agents the project history, conventions, and source-of-truth context they need before they generate code or suggest changes.
“Context-aware code review”
Run AI code review on pull requests or merge requests with surrounding context from docs, tickets, conversations, and prior decisions, rather than reviewing diffs in isolation.
“On-demand team Q&A”
Ask questions in Slack, Teams, the web, or agent chat and get cited answers grounded in connected sources instead of hunting across tools manually.
“MCP-connected workflows”
Bring curated context into Cursor, Claude, Copilot, and other MCP-connected tools so agents can work from reconciled system knowledge.
“Onboarding and planning”
Use the platform to help new engineers understand how systems work, where decisions live, and which docs or threads are current when onboarding or planning work.
자주 묻는 질문
What does Unblocked do?
Unblocked connects code, docs, tickets, and conversations into a unified context layer, then surfaces that context in code review, chat, the terminal, the web, MCP, and API-based workflows.
What tools does it connect to?
The site says Unblocked integrates with GitHub, GitLab, Bitbucket, Slack, Jira, Confluence, major documentation platforms, and more, and also supports direct use through MCP, CLI, and API.
How does Unblocked support answer accuracy?
Unblocked says it shows citations to the exact files, pull requests, tickets, discussion threads, or docs used in an answer. It also states that permission-aware access is enforced and that main branch code is treated as the source of truth when sources conflict.
Is there a trial?
Yes. The pricing page says Unblocked offers a 21-day trial for the Code Review and Platform plans with full access to all features and no credit card required to start.
What plans are available?
The pricing page lists Code Review, Platform, and Enterprise options. Enterprise is positioned for teams with advanced security and compliance requirements and includes features such as SSO, permission enforcement, and deployment options in the customer's own cloud environment.
주요 정보
- Category
- Developer Tool
- Primary users
- Engineering teams and AI coding agents
- Core workflow
- Connect sources, build living context, then use it in review, chat, and agent workflows
- Integrations
- GitHub, GitLab, Bitbucket, Slack, Jira, Confluence, and more
- Plans
- Code Review, Platform, and Enterprise
- Source domain
- getunblocked.com
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