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antislope-ai
Local AI review + MCP context to stop wasting tokens.
Antislope does more than run local AI review on every save. It builds a local structure index of your codebase, keeps project context fresh, and exposes both through MCP to Cursor, Copilot, and Claude Code. That means your coding assistant gets a compact architecture and issue summary instead of making you paste files, rules, and project background into every session. The result is earlier drift detection and fewer repeated context tokens, all running locally on Ollama.
Hey everyone! 👋 I built Antislope to stop vibe-coded projects from quietly falling apart. It runs local AI review on every save, builds a local index of your codebase, and feeds fresh rules, architecture, and issues to Cursor/Copilot/Claude Code via MCP. No more pasting context into every chat — your AI gets a compact, always-fresh summary, cutting repeated tokens by 60–80%. Runs free on Ollama, no API cost. Let me know what you think!
About antislope-ai on Product Hunt
“Local AI review + MCP context to stop wasting tokens.”
antislope-ai was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #24 on the daily leaderboard. Antislope does more than run local AI review on every save. It builds a local structure index of your codebase, keeps project context fresh, and exposes both through MCP to Cursor, Copilot, and Claude Code. That means your coding assistant gets a compact architecture and issue summary instead of making you paste files, rules, and project background into every session. The result is earlier drift detection and fewer repeated context tokens, all running locally on Ollama.
On the analytics side, antislope-ai competes within Productivity, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how antislope-ai performed against the three products that launched closest to it on the same day.
Who hunted antislope-ai?
antislope-ai was hunted by Coding Zheng. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of antislope-ai including community comment highlights and product details, visit the product overview.
Coding Zheng