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✓ verifiedFreemium

IDE coding assistant for VS Code and JetBrains that uses your own API keys across 15+ model providers, with agentic mode and autocomplete.

262K visits/mo

Thin 'Lingbot-map' agent listing on github.com with zero traffic; too thin to tell.

5.2K saves

✓ verifiedFree

Free AI helper that turns a plain-English description of a task into the matching Git command to copy and run.

✓ verifiedFreemium

GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.

52K visits/mo

✓ verifiedPaid

Enterprise-focused AI coding assistant offering code completion, in-IDE chat and agentic workflows with strict code privacy controls.

Pricing

Free: $0/mo (BYOK, 30 free interactions)

AutoComplete Add-on / BYOK Pro: $8/mo per seat ($6.67 annual)

No public pricing

No public pricing

Free: $0/contributor (up to 7 contributors, 90-day retention)

Premium: $10/contributor (unlimited contributors, AI insights)

AI Coding Platform: $39 per user per month (annual subscription)

Core features

✦BYOK access to 15+ model providers
✦Agentic planning-then-build mode
✦AI autocomplete
✦MCP connections to external systems
✦Custom rules and live context tracking
✦Local models via Ollama/LM Studio
✦VS Code and JetBrains plugins

✦Fast tensor operations
✦Differentiable tensors for gradient-based optimization
✦Network connectivity
✦Integration with Bun and Flashlight
✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)

✦Natural-language to Git command suggestions
✦AI-driven command matching
✦Copy-ready command output
✦Git guides and reference

✦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

✦AI code completion for single and multi-line suggestions
✦In-IDE chat supporting the full software development lifecycle
✦Agentic workflows and a CLI for terminal-based AI coding
✦Enterprise Context Engine for org-specific codebase understanding
✦Zero code retention and no training on customer code
✦Flexible deployment: SaaS, VPC, on-prem or air-gapped
✦Governance controls, SSO, and centralized usage analytics

Use cases

→Code generation, refactoring and debugging
→Control AI spend with your own keys
→Switch between frontier models per task
→Keep code private and data-sovereign

→Creating and manipulating datasets
→Training small machine learning models
→Implementing advanced training and inference logic
→Building applications that require tensor computations

→Find the correct Git command quickly
→Learn Git syntax by describing a goal
→Avoid memorizing Git flags

→Automating developer performance reviews
→Spotting delivery bottlenecks
→Generating retrospective insights
→Motivating teams via gamification

→Enterprise engineering teams needing private, compliant AI coding tools
→Developers wanting AI chat and completions inside their existing IDE
→Organizations with legacy or mixed tech stacks requiring context-aware suggestions
→Security-sensitive teams requiring air-gapped AI deployment

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