bitoai: Get codebase-aware feedback in your GitHub, GitLab, Bitbucket pull requests or directly in your IDE

by gitbito · AI Tool · ★ 300

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Security audit verdict: SAFE · quality 49/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-code-reviewai-code-reviewerbitbucketcode-reviewgithubgitlabidejetbrainspull-requestsvisual-studio-code

Quick Facts

Stars300
Forks21
CategoryAI Tool
Quality Score49/100
Open Issues25
Last Updated2025-08-22
Created2023-01-12
Est. Tokens~3k

About bitoai

Bito Agentic AI Code Reviews Get codebase-aware feedback in your GitHub, GitLab, Bitbucket pull requests or directly in your IDE. Merge PRs 89% faster and ship clean code the first time. No credit card is requred to start a 14-day free trial. Developers start free at https://bito.ai. What is Bito Bito helps engineering teams ship better code, faster, and win back 1 day per sprint.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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