AI-dev-assistant: AI-powered code analysis tool with bug detection, code explanations, and AI-powered suggestions

by imDarshanGK · Agent Tool · ★ 83

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 72/100

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.

aibeginner-friendlybug-detectioncode-analysiscode-reviewcppdeveloper-toolsfastapigithub-copilotgithub-education

Quick Facts

Stars83
Forks471
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score72/100
Open Issues811
Last Updated2026-09-28
Created2026-03-30
Platformsbrowser, docker, python
Est. Tokens~23k

About AI-dev-assistant

Debug. Understand. Ship faster. An open-source AI-powered developer assistant that detects bugs, explains code in plain English,gives actionable improvement suggestions, and now supports project-wide analysis, AI chat, and live multi-user collaboration. [![Pydantic](https://img.shields.io/badge/Pydanti

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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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