PearAI
by PearAI · AI code editor with codebase chat, a coding agent and model routing
BenchRank score
Screenshots of PearAI
Homepage
Overview
PearAI is an AI code editor, described on its own site as open source. It combines PearAI Chat, which answers questions and generates code using @codebase context and is powered by Continue, with PearAI Agent, which writes features and fixes bugs and is powered by Roo Code / Cline. PearAI Router picks a coding model for you behind a single 'PearAI Model' setting.
- Best for
- Developers who want an AI code editor with codebase-aware chat and an agent that edits code
- Pricing
- Free Intern tier, then Maker at $15/month at an early-bird rate including $15 of monthly credits, with Enterprise sold in bulk on request.
- Runs on
- Web
Strengths and trade-offs
Strengths
- Free tier works with your own API key or local models
- One subscription routes to several coding models
- Chat answers with @codebase and file context
- Zero data retention with Anthropic on paid tiers
Trade-offs
- Creator, Login and Launch are listed as coming soon
- Free tier lists MacOS (Silicon) as the only platform
- Agent and chat are built on Roo Code / Cline and Continue
- $15 tier includes $15 of credits; further use is pay-as-you-go
How PearAI markets itself
A structured read of the promise, proof and page design on PearAI’s captured homepage.
Homepage capture
“The AI Code Editor for Your Next Project.”
- Angle: AI-native
- Hero: Abstract graphic
Pricing
Published plans and prices from PearAI’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The PearAI pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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Is this your product?
Claim PearAI to manage its profile. Claiming lets you suggest edits to the descriptive fields — it never changes scores or rankings.