- Software Engineers & Tech Leads: Looking to streamline code reviews through natural speech and AI collaboration.
- Distributed Engineering Teams: Needing efficient, accessible review tools in remote or hybrid environments.
- Open-Source Contributors: Eyeing faster, more intuitive ways to submit and review pull requests.
- Development Managers: Aiming to reduce review bottlenecks while boosting team alignment and consistency.
- Security & Quality Auditors: Wanting real-time AI feedback on vulnerabilities, architecture, or best practices.
How to Use It?
- Connect to GitHub: Authorize access to your repositories and pull requests.
- Launch the Web Interface: Load any Pull Request into the LightLayer workspace.
- Speak Your Thoughts: Highlight code segments and verbally provide feedback or ask questions.
- Receive AI Assistance: The AI drafts comments, summarizes changes, flags risks, and even offers fixes—reflecting your tone and phrasing.
- Enhance Context Awareness: LightLayer integrates with tools like Slack, Jira, Linear, and Notion for streamlined, information-rich reviews.
- Voice-Native Interaction: Eliminates typing and switches friction from screen to voice reviews.
- Context-Driven Intelligence: AI sees your viewport, understands code changes, and offers targeted remarks.
- Tone Matching: Your feedback is mirrored in the AI-generated text—whether casual, formal, or technical.
- Integrated Developer Workflow: Syncs with GitHub and planning tools, maintaining continuity across communications.
- Productivity Game-Changer: Reported to speed up code reviews significantly—once experienced, hard to revert to typing-based reviews.
- Dramatically accelerates review turnaround via voice-driven workflow.
- Contextual insights streamline code understanding and review cycles.
- Supports seamless integration with popular tooling for a unified experience.
- Encourages accessibility and reduces fatigue compared to traditional review methods.
- Excellent for scaling review processes across distributed or async teams.
- Limited to voice-enabled platforms—filtering for loud environments or narration pacing may be needed.
- Requires some setup for full integration with tools like Slack or Jira.
- Dependence on spoken clarity—accents or background can affect performance.
- May need disclaimers or rules when confirming high-stakes security-related feedback.
Custom
Custom Pricing.
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Reviews
Rating Distribution
Average score
Popular Mention
FAQs
It's a voice-first AI tool that lets developers review code by speaking, with AI generating review comments and contextual summaries.
Users report up to 5x faster reviews because speaking feedback is more efficient than typing.
GitHub is supported out of the box, with planned integrations for Slack, Jira, Linear, and Notion.
Yes—it can identify risks like security gaps or performance concerns, and suggest improvements.
The AI adapts to your phrasing—formal or casual—based on how you speak during the review.
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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