Blogs

llms.txt is still overhyped

Redocly

One year later, independent log studies confirm what we saw in our own logs. Almost nobody fetches llms.txt, least of all AI systems.

Visit Site

Blogs Redocly

Blogsllms.txt is overhypedRedocly BlogsHow to optimize your docs for LLMsRedocly BlogsRFC 9457: Better information for bad situationsRedocly BlogsCode mode for MCP: up to 80% lower LLM costsRedocly BlogsSummer 2025 Updates: June and JulyRedocly BlogsRedocly for technical writersRedocly BlogsLM Link: Use local models on remote devices, powered by TailscaleTailscale BlogsThe Simple Joys of Scaling UpMotherduck BlogsThe tools are ready. So why are most cloud native teams still running three observability stacks?Cncf Products & ServicesAI is changing tech writers’ workGitbook BlogsQwen 3.7 Plus is now live on FireworksFireworks BlogsLaunching Fireworks for Startups Program!Fireworks BlogsAccelerating Code Completion with Fireworks Fast LLM InferenceFireworks BlogsSimplifying Code Infilling with Code Llama and Fireworks.aiFireworks BlogsCursor Composer 2 + FireworksFireworks Products & ServicesNew this month: Performance upgrades, better LLM support, new blocks and moreGitbook Products & ServicesHumans are still the real readers of your documentationGitbook BlogsBeyond The Hype: What AI Can Really Do For Product DesignSmashingmagazine ResearchThe Reality of AI and BioriskCohere ResearchBidirLM: From Text to Omnimodal Bidirectional Encoders by Adapting and Composing Causal LLMsCohere