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Aide helps developers code faster with parallel agents and automated workflows.
Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
AI content-workflow platform helping marketing teams create and refresh SEO/AEO content at scale with human review.
GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.
Long-standing provider of human-labeled, expert-validated training data and model evaluation services for building frontier AI.
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- ✦Parallel Agents for faster coding
- ✦GitHub native integration
- ✦Automated PR workflow
- ✦Smart PR suggestions
- ✦Automatic code reviews
- ✦Real-time progress tracking
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦AI workflows for content creation, optimization and refresh
- ✦AI and traditional search visibility insights
- ✦Brand Kit for voice and style grounding
- ✦Power Agents and no-code workflow builder
- ✦Human review checkpoints
- ✦Integrations with WordPress, Notion and Semrush
- ✦Contribution and work-quality analytics
- ✦Automated, AI-powered performance reviews
- ✦Retrospective insights
- ✦Operational bottleneck alerts
- ✦Gamification with XP, levels and leaderboards
- ✦Uses Git metadata without accessing source code
- ✦Frontier alignment data (RLHF, SFT, red teaming)
- ✦Speech and audio data
- ✦Multimodal / VLM annotation
- ✦Physical AI data (LiDAR, robotics, sensor fusion)
- ✦Model integrity, bias and hallucination audits
- ✦1M+ vetted contributors, 500+ locales
- ✦SOC2 and ISO 27001 certified
- →Automating code reviews
- →Generating PRs automatically
- →Improving code quality through continuous improvements
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Producing SEO and AEO content at scale
- →Refreshing old content to regain traffic
- →Tracking brand visibility in AI answers
- →Agency content production
- →Automating developer performance reviews
- →Spotting delivery bottlenecks
- →Generating retrospective insights
- →Motivating teams via gamification
- →Source training data for AI models
- →Evaluate and benchmark models
- →Annotate multimodal and sensor data
- →Run safety and bias audits