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AI · July 27, 2025

No Hype AI – get oriented in using LLM tools for software engineering

Hey HN! When I started looking into LLMs and agents for software development and introducing them at work, I quickly realised that a person new to the topic faces a real barrage: - all the hype (AGI, engineers getting replaced by AI etc.) - conflicting opinions in virtually every discussion—for every person saying they’ve 10x-ed their productivity, there is a comment decrying LLMs as an utter failure - a lot of jargon (MoE, MCP, RAG, distillation, quantisation etc. etc.) - a profusion of models, IDEs/IDE extensions, CLI agents, other tools etc. Sorting through all of this can be quite…

No Hype AI – get oriented in using LLM tools for software engineering launched on July 27, 2025 with 9 votes, #2,613 of 9,223 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.

What it does

Get oriented in using generative AI for software engineering, without the hype.

The amount of noise and hype around generative AI is huge. Is it going to replace software engineers? Will teenagers be vibecoding financial processing systems while watching TikTok videos? Are we going to be reduced to tidying up reams of sloppy AI code? Or is it just another tool that is helpful when used skillfully and judiciously? If so, where to start? How to cut through all the noise about models, agents, hallucinations, distillation, quantisation and so on? What are the ethical, productivity and other considerations in adopting such a tool? NO HYPE AI is my attempt to cut out the hype and provide a level-headed overview of generative AI tools for software engineers. Context…from nohypeai.dev

In the maker’s words, at launch

Hey HN! When I started looking into LLMs and agents for software development and introducing them at work, I quickly realised that a person new to the topic faces a real barrage: - all the hype (AGI, engineers getting replaced by AI etc.) - conflicting opinions in virtually every discussion—for every person saying…

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