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dev. to > thestackunderflow_3b3b3b6 > how-llm-tokens-work-and-why-they-explain-your-ai-bill-46b

How LLM Tokens Work (And Why They Explain Your AI Bill)

24+ min ago  (498+ words) Your LLM never reads your words " it reads tokens. And almost every surprise on your AI bill traces back to that one fact. Here's the breakdown " Here's the thing almost nobody internalizes about large language models: Claude never reads your…...

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dev. to > gainalgo > i-built-an-open-source-crypto-trading-bot-that-runs-4-exchanges-from-one-server-47c1

I built an open-source crypto trading bot that runs 4 exchanges from one server

19+ min ago  (184+ words) Gain Algo is an MIT-licensed crypto trading bot I've been building. The latest update lets it manage four exchanges from a single server and one dashboard: That's 2 futures + 4 spot markets, all in one process. On its own, the bot is…...

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dev. to > luc45hn > two-patterns-for-reducing-llm-costs-in-data-heavy-rag-apps-26p7

Two Patterns for Reducing LLM Costs in Data-Heavy RAG Apps

46+ min ago  (537+ words) How we cut token usage significantly in an F1 telemetry analyzer by rethinking what goes into the context window " and when. This post covers both patterns with real code from the project. A typical race weekend in F1 Analyst Pro has data…...

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dev. to > jakub_inithouse > measuring-engagement-without-conversions-how-we-evaluate-mvps-at-inithouse-58pe

Measuring Engagement Without Conversions: How We Evaluate MVPs at Inithouse

37+ min ago  (597+ words) When you're running early-stage MVPs, the standard playbook breaks down fast. ROAS? Meaningless when you have 3 signups a week. Conversion rate? Statistically irrelevant on 40 sessions a day. We ran into this across our portfolio at Inithouse " 16+ products, most pre-PMF " and…...

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dev. to > anuranroy > the-multi-agent-memory-problem-why-retrieval-time-inference-breaks-down-at-scale-1119

The Multi-Agent Memory Problem: Why Retrieval-Time Inference Breaks Down at Scale

1+ hour, 7+ min ago  (867+ words) Published by the Alchemyst AI engineering team. We built Alchemyst AI, the context layer described in this post. This is not a neutral third-party review - we have a direct commercial interest in this topic. We've done our best to link…...

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dev. to > merva_yaln_a5acd4a41ba2 > build-a-tarot-reader-in-nodejs-with-an-open-78-card-dataset-no-scraping-498c

Build a tarot reader in Node. js with an open 78-card dataset (no scraping)

51+ min ago  (335+ words) I wanted tarot card meanings as clean, structured data for a side project, and quickly hit the usual wall: the good interpretations live in long blog posts, and nobody wants to scrape and parse that. So I ended up packaging…...

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dev. to > morinaga > how-i-kept-62-of-80-programmatic-pages-alive-while-hiding-them-from-google-1hgi

How I kept 62 of 80 programmatic pages alive while hiding them from Google

51+ min ago  (566+ words) After my second Ad Sense rejection for scaled content, I had two options for the thin pages on Open Alternative To: delete them and accept 404s on any inbound links, or keep them alive while hiding them from Google's quality evaluation....

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dev. to > jakub_inithouse > personality-quiz-seo-how-we-index-result-pages-for-origin-of-you-at-inithouse-1925

Personality Quiz SEO: How We Index Result Pages for Origin Of You at Inithouse

36+ min ago  (519+ words) Most personality quiz apps treat their quiz page as the money page. Big hero, catchy CTA, maybe a testimonial. Then they wonder why Google ignores it. We run a portfolio of products at Inithouse, a studio shipping apps in parallel....

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dev. to > sdux-vault > global-store-is-a-shared-dependency-why-scoped-state-ownership-wins-3g06

Global Store Is a Shared Dependency " Why Scoped State Ownership Wins

50+ min ago  (430+ words) Redux centralizes state through a global store and reducer tree. Every feature adds slices to the same root object. Every selector projects from the same tree. Every action broadcasts to every reducer. At small scale, this is manageable. One developer…...

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dev. to > fernando_azevedo_6844e930 > ec2-g7e-architecture-decision-for-generative-video-inference-ji7

EC2 G7e: Architecture Decision for Generative Video Inference

1+ hour, 10+ min ago  (719+ words) Generative video inference is not image inference multiplied by 24 frames per second. The problem is fundamentally different across three dimensions: temporal activation memory, GPU memory bandwidth, and business-acceptable end-to-end latency. Fourth, cold start and model warm-up: large video models (515 GB…...

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