Alternatives
Products that do what European Swallow AI does
Making AI coding cost less
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Xcode 26.3▲326Leverage coding agents to tackle complex tasks autonomously
Feb 2026 · developer.apple.com
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Are you spending hundreds of dollars a month on AI coding costs? I built European Swallow AI, an API that uses reasoning models (Claude, Deepseek) for thinking and cheaper specialized coding models (Qwen, Grok) to write code, so you can save token costs while still getting high quality code. With an OpenAI formatted endpoint you can try European Swallow in Cursor, Typing Mind, Xibe AI and your own custom apps. During testing, European Swallow scored 80.5% on Big Code Bench and over 90% on the HumanEval+. It averaged $2.60 per million tokens compared with the $15 per million output tokens of…
Oct 2025 · europeanswallowai.com
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Hi HN! I want to share our latest project at NEXA AI. We developed AI agent foundation models designed to transform how developers create AI agent powered apps. One major challenge we've observed with current human-computer interactions is that many simple, one-step tasks become unnecessarily complex, multi-step workflows due to limitations of current GUIs. AI agents can solve this, but existing AI agent models are slow and costly. To tackle these issues, we built lightweight AI agent models based on our Octopus V2, small language models for function calling (You can learn more about our…
2024 · nexa4ai.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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Hi, I'm working on a project that regroups all best AI (AIaaS) from different providers (GCP, AWS, Azure, DeepL, etc.) in one API (https://github.com/edenai/edenai-apis). I've got asked the question : why aren't you regrouping Open Source models (instead of proprietary APIs) into one repo? Well because it doesn't make sens to deploy and maintain large pytorch (or other framework) AI models (especially for document parsing, image and video moderation or speech recognition) in every solution that wants AI capabilities. So using APIs makes way more sens. Deployed OpenSource…
2023 · github.com
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Your AI has your code's text, never its map. Fix that.
Jun 2026 · luuuc.github.io
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Hi HN. I'm the founder of Phoenix Labs (ex TikTok, Applied AI) and we're open sourcing our internal tooling today which is like a toolchain / meta-harness for CLI agents useful for really scaling eng and creative work. We are a very small team who's building a very ambitious product so we had to find ways to squeeze every ounce of efficiency that we could get our hands on. Harness strengths of different models (Claude, GPTs) and CLI-harnesses (Claude Code, Codex), safe/robust browser integration to speed up UX/QA testing, teams cli to speed up security reviews and parallelize…
May 2026 · agents-cli.sh
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