Getunblocked

Overview

Getunblocked is an AI-powered platform designed to improve the performance of AI coding tools by providing them with relevant context from a team's codebase, documentation, and communication channels. It helps ensure that AI-generated code is production-ready, code reviews are more insightful, and new engineers onboard more quickly. By connecting to existing tools, Getunblocked enables AI to understand a system like an experienced engineer.

Key Features

Contextual code suggestions for more accurate and relevant AI-generated code.
Intelligent code review assistance to streamline the review process.
Automated answers to common engineering questions, reducing repetitive support requests.

Who It's For

Getunblocked is particularly useful for development teams of all sizes that are looking to improve developer productivity, reduce code review bottlenecks, and accelerate time-to-market. It is especially helpful for those struggling with AI code hallucinations, slow onboarding processes, or repetitive support requests.

Key Features

Contextual code suggestions - generate more accurate and relevant code with your team's knowledge.

Intelligent code review assistance - get thoughtful and relevant code review comments.

Automated answers to common engineering questions - provide instant answers for new hires and seasoned engineers.

Integration with popular code repositories - connect to GitHub, Bitbucket, and GitLab.

Integration with documentation platforms - connect to Confluence, Notion, and Google Drive.

Integration with communication tools - connect to Slack for quick answers.

API access - integrate into existing workflows and build custom integrations.

Secure data access with Data Shield - protect sensitive data.

Single Sign-On (SSO) - secure access with Okta, Google Workspace, Microsoft Entra, AWS Identity Center.

No data retention - ensures no training or retention by any third parties or LLMs.

Use Cases & Problems Solved

Use Cases

•Use when your AI coding tools are generating inaccurate or irrelevant code.
•Perfect for onboarding new engineers and accelerating their understanding of the codebase.
•Ideal if you need to reduce the time spent answering repetitive questions from developers.
•Use when your team is experiencing bottlenecks in the code review process.
•Perfect for improving the quality and reliability of AI-generated code.
•Ideal if you need to connect your code, docs, and conversations to improve AI code generation.
•Use when you want to provide your AI coding tools with the context they need to understand your system like a seasoned engineer.

Problems Solved

✓Reduces AI code hallucinations by providing relevant context.
✓Eliminates slow onboarding processes for new engineers.
✓Reduces time wasted on repetitive support requests.
✓Eliminates code review bottlenecks with contextual suggestions.
✓Eliminates prototype-quality code from AI tools and produces production-ready code.

Who It's For

Development teamsEngineering managersSoftware architectsCTOsDevOps engineersTechnical leads

Fit Analysis

Best For

Best for development teams who need to improve AI coding accuracy and accelerate developer productivity.

Not Ideal For

Not ideal for individual developers with very small codebases because the benefits are maximized with team collaboration and larger, more complex systems.

Overview

Key Features

Who It's For

Key Features

Use Cases & Problems Solved

Use Cases

Problems Solved

Who It's For

Fit Analysis

Best For

Not Ideal For

Metrics

Related Tools