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Onboard AI vs Pieces Copilot

Provides an AI coding sidekick for workflow assistance, not a full codebase search or PR review engine.

Side by side

What it is
Onboard AI:Onboard AI lets developers search, navigate, and understand large codebases in natural language using AI agents.
Pieces Copilot:Pieces Copilot captures your work history and provides searchable, contextual AI assistance across apps.
Best for
Onboard AI:Natural-language code search & AI review
Pieces Copilot:Context-aware AI assistance
Who it’s for
Onboard AI:Developers and teams needing AI-assisted codebase exploration and review.
Pieces Copilot:Developers and knowledge workers who need instant recall of their workflow.
Pricing
Onboard AI:Freemium
Pieces Copilot:Paid
Plans
Onboard AI:Starter Free · Pro $30/seat/month per month
Pieces Copilot:Pro $18.99 per user / month · Enterprise $22.99 per user / month
Works with
Onboard AI:GitHub, GitLab, Bitbucket, Cursor Origin, Claude Code
Pieces Copilot:Gmail, Outlook, Chrome, Arc, Safari, Slack, Microsoft Teams, Google Chat
DevHunt upvotes
Onboard AI:5
Pieces Copilot:63
Launched on DevHunt
Onboard AI:Jan 2024
Pieces Copilot:Mar 2024

Onboard AI features

  • Graph code index. Builds a graph of files, functions, and dependencies for fast queries.
  • Swarm of review agents. Parallel AI agents review PRs, assess impact beyond the diff, and flag issues.
  • Custom review rules. Write standards in plain English to enforce team-specific patterns on every PR.
  • Continuous learning. Learns from team comments to adapt to coding standards over time.
  • IDE integration. One-click send issue context to Claude Code, Cursor, Codex, or Devin.
  • Self-hosted deployment. Can be run in an air-gapped environment with your own LLM providers.

Pieces Copilot features

  • Live timeline. Chronological capture of research, chats, emails, notes, and meetings.
  • Searchable memory. Search, filter, and revisit any moment by time, topic, person, or tool.
  • One-click summaries. Generate stand-up updates, briefs, and recaps instantly from your context.
  • Multi-model support. Switch between Claude, Gemini, ChatGPT, and local models in a single plan.
  • MCP integration. Carry full history into any MCP-ready AI assistant such as Claude, Cursor, Codex.
  • Privacy controls. Data stored on-device by default; pause or disable capture per app.
  • Enterprise governance. Org-wide capture policies, approved providers, and custom API keys.

Based on each tool's website and DevHunt data. Details may change; check the official sites.