Alternatives
Products that do what Interbase does
Goals, aliases, remote access, and 4,800+ models
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https://the-pocket.github.io/Tutorial-Codebase-Knowledge/
2025 · github.com
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2023 · github.com
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13,000+ MCP servers, skills & plugins for AI coding agents
Jul 2026 · codexmarketplaces.com
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I've been exploring the (not so=) amazing potential of AI in coding and have compiled a list of tools. From AI-powered IDEs to code generators, this resource is my contribution to the community. I'm still on the fence about including txt2sql projects, as their functionality seems too basic to me. And I'm personally maintaining this, so your feedback is wellcome.
2025 · aicode.danvoronov.com
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Attach reference projects for AI coding tools
Apr 2026 · marketplace.visualstudio.com
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Hi HN, I'm Hang, cofounder of InsForge (YC P26). InsForge is an open-source Heroku for AI coding agents: a backend platform designed for coding agents to deploy, operate, and debug end-to-end. Open source under Apache 2.0 (https://github.com/InsForge/InsForge). Quick demo here (https://youtu.be/7Bax5qz0IfM). We started InsForge because we just wanted our Claude Code to handle all the backend / infra stuff for us, instead of us jumping between dashboards doing manual config, or copy paste logs and docs back to agents. We first tried creating a folder…
May 2026 · github.com
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Introducing Instabase AI Hub, a generative AI platform focused on content understanding. Instabase AI Hub has three components designed for use by any professional: 1. AI Hub Converse: With Converse, users can seamlessly chat and analyze any document set. From financial data to legal contracts, to university research papers, and more, users can quickly ask questions about the documents and identify the information they need. For example, take the use case of identifying key terms and summarizing a contract. With Converse, users can take complex and long contracts and summarize, translate,…
2023 · instabase.com
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We built a reference MCP server that lets your editor/agent learn a codebase directly from source (signatures, types, AST, comments). Docs are optional. The reference impl runs on our open-source project’s codebase. Why we built it Docs are important, but they add another abstraction layer between your code and your users. Keeping them at the right quality is hard (especially at a startup), and LLM-generated docs are often mediocre until you invest real polish. Exposing code to the model in a structured way keeps answers grounded and current, and it’s always available. You can even…
Sep 2025 · github.com
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Hey HN! Ilya and Nikita here. We're building wispbit (https://wispbit.com) - a tool that helps keep codebase standards alive. With the help of AI coding tools, engineers are writing more code than ever. Code output has increased, but the tooling to manage this hasn't improved. Background agents still write bad code, and your IDE still writes slop without the right context. So we built wispbit. It works by scanning your codebase for patterns you already use, and coming up with rules. Rules are kept up to date as standards change, and you can edit rules any time. You can enforce…
Oct 2025 · wispbit.com
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