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    ๐Ÿš€ Kill the Junior AI Era. ๐Ÿค– Level up your AI code to Principal standards. No more sloppy lines or junior mistakes. Automated ESLint โœจ TypeScript ๐Ÿ”ง Prettier ๐ŸŽจ SonarQube ๐Ÿ›ก๏ธ Security ๐Ÿ”’ Complexity ๐Ÿ“Š in seconds. High-stakes quality, forced to ship only the best. โšก๐Ÿ† Goodbye, bad code. Hello, Principal Engineer. ๐Ÿš€โœจ
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    MIT
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    MCP server for verifying AI agent claims vs reality โ€” single-transcript inline grounding-check that flags when an agent's response states facts not in the input context, when its code silently swallows exceptions and substitutes mock data, or when its multi-turn transcript contains contradictions or unverified completion claims. Sub-second, local, free, no API calls.
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    MIT
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    Enables cleaning and sanitizing prompts through an LLM-powered tool that removes sensitive information, provides structured feedback with notes and risks, and normalizes prompt formatting. Supports configurable local or remote OpenAI-compatible APIs with automatic secret redaction.
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    MIT
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    Fix your vibe coding prompts before they reach the AI. Scores and rewrites across 4 dimensions โ€” no API key, no server, just npx. Now with codebase-aware context injection for design, database, API, auth, testing, and state management.
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    MIT
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    One MCP server for golangci-lint, govulncheck, and nilaway โ€” a unified Diagnostic\[] array with consistent file:line:column navigation, parallel execution, and zero-config auto-install - for golang development.
    MIT
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    A Model Context Protocol server that helps programmers understand code by providing explanations, tech stack analysis, and best practice suggestions through prompt templates.
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    Integrates Google's Gemini AI models into Claude Code and other MCP clients to provide second opinions, code comparisons, and token counting. It supports streaming responses and multi-turn conversations directly within your existing AI development workflow.
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    Apache 2.0
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    Provides a read-only interface to audit and continue coding agent sessions by extracting plans, intents, and edit authorship from history across multiple agents (Claude, Codex, OpenCode, Antigravity, Pi) via MCP, CLI, and Python SDK.
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    MIT
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    Provides tools to test regex patterns for correctness, performance (ReDoS), and memory usage, and suggests safe rewrites. Enables LLMs to iterate on regex generation with verifiable feedback.
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    MIT
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    AI development assistant with 36 specialized tools for memory management, code analysis, project planning, and problem-solving through natural language interactions in Korean and English.
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    MIT