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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

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✓ verifiedFreemium

Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.

775K visits/mo
CodeGPT logo
CodeGPT
✓ 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
Airbyte logo
Airbyte
✓ verifiedFreemium

Open-source data-movement platform now adding a context/action layer for AI agents; 600+ connectors and flexible pricing.

222K visits/mo
Jam logo
Jam
✓ verifiedFreemium

One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.

730K visits/mo2.9K saves
Pricing

No public pricing

Free: $0/mo (BYOK, 30 free interactions)
AutoComplete Add-on / BYOK Pro: $8/mo per seat ($6.67 annual)
Agents Free: $0/mo (1000 AOs)
Agents Individual: $29/mo (5000 AOs)
Agents Team: $299/mo (10,000 AOs)
Data Standard: from $10/mo
Data Plus: from $500/mo
Free: $0 (30 Jams/mo, 5 recording links)
Team: $14/creator per month billed yearly (unlimited Jams)

Free trial available

Core features
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • 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
  • 600+ data connectors
  • ELT replication and CDC
  • Open-source and managed cloud options
  • Airbyte Agents context store (MCP/SDK/CLI)
  • Capacity- and volume-based pricing
  • Governance: SSO, RBAC, encryption
  • One-click bug capture via browser extension
  • Automatic repro steps
  • Console, network and device logs
  • Instant replay of recent activity
  • Backend tracing and an AI debugger
  • Integrations with Jira, Linear, GitHub and Slack
Use cases
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • Code generation, refactoring and debugging
  • Control AI spend with your own keys
  • Switch between frontier models per task
  • Keep code private and data-sovereign
  • Building data pipelines to warehouses
  • Syncing SaaS data for analytics
  • Giving AI agents live business context
  • Filing detailed bug reports
  • Reproducing issues faster in QA
  • Sharing debug context with engineers
  • Triaging support bug reports
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