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NativeCode vs Repowise

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

NativeCode compared with Repowise
DetailNativeCode logo NativeCodeRepowise logo Repowise
What it doesA free local-first AI coding IDE for macOS and Windows Codebase intelligence platform for AI agents and teams
StageMVP Startup
FoundedNot given 2024
Based inNot given Not given
Pricing modelFree Freemium
PricingNot given Free: 2 public repos, 10 AI answers/month. Pro: $15/month (moving to $20/month in November, or $16/month yearly), includes private repos, auto-sync on every push, security scanning, $5/month AI credits. Teams: $20/seat/month with 3-seat minimum, includes 25 shared repos, shared $5/seat/month credit
Key features
  • Monaco code editor with VS Code-inspired workspace
  • Local AI inference via Ollama or LM Studio
  • OpenAI-compatible server support
  • Plan mode with approval flow for write operations
  • Vision and reasoning model support
  • Integrated terminal with shell command execution
  • 7.11 MB download using system WebView
  • Project memory and skills for context management
  • Web search and guarded page fetching
  • 100% local by default with zero telemetry
  • Code health scoring with defect prediction
  • Blast radius and change impact detection
  • Auto-generated documentation rebuilt on every commit
  • Git intelligence: hotspots, owners and coupling detection
  • Architecture and decision tracking
  • MCP tools for Claude Code and Cursor
  • PR bot with change review and test detection
  • Security scanning: CVEs, secrets and reachability
  • Dead code detection and unused exports
  • Change Records with policy enforcement
What makes it different
  • Complete privacy with local models and zero telemetry
  • Private local-first alternative to Cursor
  • Any model support via Ollama or OpenAI-compatible servers
  • Open source under AGPL-3.0, self-hostable with no LLM calls required to build the index
  • Every published benchmark includes sample size, corpus and statistical methods
  • Code health scores trained on years of real commits and defect fixes, with 0.74 AUC prediction accuracy
  • Eliminates need to switch tools: integrates with Claude Code, Cursor, VS Code, GitHub and team dashboards
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)2 no change since last check10 no change since last check
Trust Flow (Majestic)08
Citation Flow (Majestic)434
Referring domains (Majestic)7244

5 details filled in for both companies.

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