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Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
IBM's open, hybrid data lakehouse that connects, governs and optimizes enterprise data to make it AI-ready across clouds and on-premises.
Turns Git commits and PRs into AI-summarized daily or weekly reports delivered to Slack or email, no source access.
GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.
AI app-building platform where autonomous coding agents build, test, and deploy full-stack web and mobile apps from a prompt.
No public pricing
No public pricing
Free trial available
No public pricing
Free trial available
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦Open hybrid data lakehouse
- ✦Connects data across clouds and on-prem
- ✦Governance, lineage and access controls
- ✦Business-context enrichment
- ✦AI-ready data for analytics and models
- ✦AI-summarized commit and PR reports
- ✦Daily and weekly scheduled digests
- ✦Slack and email delivery
- ✦One-click OAuth or webhook setup
- ✦GitHub, GitLab and Bitbucket support
- ✦Templates for standups and reports
- ✦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
- ✦Autonomous AI coding agent that builds and deploys apps end to end
- ✦Visual, code-connected design canvas for UI tweaks
- ✦Built-in database and one-click publishing/hosting
- ✦Parallel multi-agent task execution for large projects
- ✦Integrations with tools like Linear, Notion, and Excel
- ✦Convert web apps into mobile apps
- ✦Credit-based usage billing on paid tiers
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Unifying fragmented enterprise data
- →Governing data for AI workloads
- →Moving AI pilots to production
- →Powering analytics with trusted data
- →Keep stakeholders updated on what shipped
- →Replace manual status updates and standups
- →Give teams visibility into Git activity
- →Automating developer performance reviews
- →Spotting delivery bottlenecks
- →Generating retrospective insights
- →Motivating teams via gamification
- →Non-developers building working apps by describing them in prompts
- →Teams prototyping business or mobile apps quickly
- →Developers offloading repetitive coding/coordination to an AI agent
- →Enterprises needing SSO and dedicated environments for AI app building