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My AI Answered in 5.8 Seconds and Said Nothing Useful. I Almost Blamed the Model.

Dev.to · Sho Naka 🧠 Large Language Models ⚡ AI Lesson 3h ago

My AI Answered in 5.8 Seconds and Said Nothing Useful. I Almost Blamed the Model.

Same model, same question, 5.80s vs 5.68s. The only change was 2,545 characters of context — and the answer went from a deflection to someth

llms.txt: what it is, why it matters and how to implement it

Dev.to · Rafał Fuchs 🧠 Large Language Models ⚡ AI Lesson 5h ago

llms.txt: what it is, why it matters and how to implement it

In December 2024, Jeremy Howard, the creator of fast.ai, proposed a simple standard: an llms.txt file...

I built a pricing API for LLMs — then realized the real users might not be human

Dev.to · Anders Rasmussen 🧠 Large Language Models ⚡ AI Lesson 6h ago

I built a pricing API for LLMs — then realized the real users might not be human

Klikk her: LLM Price Watch started as a simple problem: comparing per-token pricing across Claude,...

Introducing CHOMATO: A lightweight harness for LFM 2.5 with superpowers.

Dev.to · Karol Rybak 🧠 Large Language Models ⚡ AI Lesson 7h ago

Introducing CHOMATO: A lightweight harness for LFM 2.5 with superpowers.

Have you ever wondered how cool it would be if your harness could: Branch the KV-cache without huge...

Redis Sliding Window Rate Limiting with Lua: The 15-Line Script That Saved Our AI Budget

Dev.to · Anand Rathnas 🧠 Large Language Models ⚡ AI Lesson 10h ago

Redis Sliding Window Rate Limiting with Lua: The 15-Line Script That Saved Our AI Budget

How we built a per-user rate limiter for our Groq LLM endpoint using a Redis sorted set and a 15-line Lua script. Atomic, fast, and fail-open by design.

Building an LLM Cost Dashboard

Dev.to · Multigrid 🧠 Large Language Models ⚡ AI Lesson 12h ago

Building an LLM Cost Dashboard

Five charts, each shipped as SQL against a stated schema, with what each one is for and what it cannot tell you.

HIPAA and LLMs: What Is Actually Possible

Dev.to · Multigrid 🧠 Large Language Models ⚡ AI Lesson 12h ago

HIPAA and LLMs: What Is Actually Possible

There is no such thing as a compliant model. There are business associate agreements, de-identification, and a set of questions to put to a vendor.

A SaaS App Eval Ledger for Direct API Token Cost, Fallbacks, and a Unified Key

Dev.to · arjunpatel3681 🧠 Large Language Models ⚡ AI Lesson 13h ago

A SaaS App Eval Ledger for Direct API Token Cost, Fallbacks, and a Unified Key

Short answer: don't choose an LLM API for a SaaS app from a public token-price table alone; replay a...

Eval Frameworks Compared

Dev.to · Multigrid 🧠 Large Language Models ⚡ AI Lesson 13h ago

Eval Frameworks Compared

The families of evaluation tooling, the four axes on which each one locks you in, and the exit test to run before you commit a year of results to any of them.

Embedding Dimensions: Does 3072 Beat 768?

Dev.to · Multigrid 🧠 Large Language Models ⚡ AI Lesson 13h ago

Embedding Dimensions: Does 3072 Beat 768?

What each extra dimension costs in bytes and in query work, derived in full, set against what model vendors have published about the quality it buys.

Hugging Face Blog 🧠 Large Language Models ⚡ AI Lesson 19h ago

TutorMoments: Do AI tutors know when to help and when to hold back?

Unpacking NVIDIA’s Vera Whitep…

Dev.to · Norvik Tech 🧠 Large Language Models ⚡ AI Lesson 23h ago

Unpacking NVIDIA’s Vera Whitep…

Originally published at norvik.tech Introduction A deep dive into NVIDIA's Vera...

Generative AI Development: What Happens Between Prompt and Output

Dev.to · Tom Billings 🧠 Large Language Models ⚡ AI Lesson 1d ago

Generative AI Development: What Happens Between Prompt and Output

Type a question into a chatbot and an answer appears in seconds. It feels simple, almost like magic....

The AI Model Landscape in 2026: who's who and where to start

Dev.to · Javi Palacios 🧠 Large Language Models ⚡ AI Lesson 1d ago

The AI Model Landscape in 2026: who's who and where to start

Claude, GPT, Gemini, Copilot, Cursor, OpenCode — too many names to choose from. Here's the map: what each one does, how API and subscription differ, and where t

OpenAI GPT-5.6 Expands Reasoning Controls While Free and Go Default to Terra

Dev.to · Ali Farhat 🧠 Large Language Models ⚡ AI Lesson 1d ago

OpenAI GPT-5.6 Expands Reasoning Controls While Free and Go Default to Terra

OpenAI has rolled out the GPT-5.6 model family across ChatGPT, Codex, and the OpenAI API, introducing...

Node.js API Result Export for Existing Posts: Batch LLM Classification of Comment Archives

Dev.to · EliBennett128 🧠 Large Language Models ⚡ AI Lesson 1d ago

Node.js API Result Export for Existing Posts: Batch LLM Classification of Comment Archives

Short answer: treat historical post and comment moderation as a resumable data pipeline, not a giant...

The LLM Gateway Cost Harness: Compatible API Caching, Batch Runs, Node.js, US, and EU

Dev.to · LukasSchmidt295 🧠 Large Language Models ⚡ AI Lesson 1d ago

The LLM Gateway Cost Harness: Compatible API Caching, Batch Runs, Node.js, US, and EU

Short answer: The cheapest OpenAI-, Claude-, or Gemini-compatible API gateway is the one with the...

StratCraft and the Physics of Quant: Keeping the Render Layer Away from the Core

Dev.to · Whetlan 🧠 Large Language Models ⚡ AI Lesson 1d ago

StratCraft and the Physics of Quant: Keeping the Render Layer Away from the Core

This is Part 3 of a 3-part series. Part 1: Your Brain Is a Rendering Engine. So Is Every LLM....

Stable JSON for LLM Multi-Label Catalog Tagging from Node.js

Dev.to · JamesAnderson121 🧠 Large Language Models ⚡ AI Lesson 1d ago

Stable JSON for LLM Multi-Label Catalog Tagging from Node.js

TL;DR For ecommerce product tagging, make the LLM return label IDs from a closed taxonomy,...

Fine-Tuning Is Mostly Theater. Here's What Works Instead.

Dev.to · AI Bug Slayer 🐞 🧠 Large Language Models ⚡ AI Lesson 1d ago

Fine-Tuning Is Mostly Theater. Here's What Works Instead.

An honest take on where AI agents, LLMs, and production systems actually are right now -- from someone deep in the space.

Building Production LLM Agents That Actually Ship: Lessons from 10+ Years in the Trenches

Dev.to · Luis Cruz 🧠 Large Language Models ⚡ AI Lesson 1d ago

Building Production LLM Agents That Actually Ship: Lessons from 10+ Years in the Trenches

Tool-calling agents, RAG pipelines, and the automation stack that turns "AI demo" into "AI in...

Inside vLLM: How the World's Fastest LLM Inference Engine Works

Dev.to · Charles 🧠 Large Language Models ⚡ AI Lesson 1d ago

Inside vLLM: How the World's Fastest LLM Inference Engine Works

How vLLM achieves 2-5x better throughput than alternatives through PagedAttention and continuous batching

Sandbox First: A Safer Local Harness for Evaluating Free Coding Models on Your Own Codebase

Dev.to · Avery Lin 🧠 Large Language Models ⚡ AI Lesson 1d ago

Sandbox First: A Safer Local Harness for Evaluating Free Coding Models on Your Own Codebase

In my last post I walked through a reproducible baseline for comparing free LLM coding models against...

Quarantine the Output: Running Model-Generated Code Without Handing It Your Laptop

Dev.to · Morgan Zhou 🧠 Large Language Models ⚡ AI Lesson 1d ago

Quarantine the Output: Running Model-Generated Code Without Handing It Your Laptop

Most pipelines that evaluate LLM output share an awkward secret: at some point, the pipeline executes...