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Tutorials

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07:57
2026-05-26
heltweg.org
ai-agents

Improving Local Techdocs for Your AI Coding Agent

A team building a self-improving knowledge base called Morsel developed a method to structure technical documentation for use by local AI coding agents. The process classifies pages using rules and a local LLM, embeds co…

06:42
2026-05-26
dev.to
ai-tools

Vibe Coding: My Daily Workflow with Claude Code

A developer outlines a practical workflow for "vibe coding" with Claude Code, emphasizing that initial project setup is too critical to delegate to AI. The engineer writes their own plan first, then debates it with Claud…

03:36
2026-05-26
github.com
ai-agents

Argus – multi‑agent AI coding assistant that never gets stuc

Argus, a new desktop coding assistant, has launched with a multi-agent architecture that simulates a real-world software team to autonomously execute coding tasks. The tool uses four AI roles—Project Manager, Software En…

22:00
2026-05-25
dev.to
large-language-models

Streaming LLM responses to the browser in Go (Server-Sent Events)

A developer has demonstrated how to implement token-by-token streaming from an LLM API to the browser using Server-Sent Events (SSE) in Go Fiber, reducing user wait time from 4-8 seconds to under one second for the first…

18:04
2026-05-25
dev.to
natural-language-processing

97. Embeddings and Vector Search: Semantic Search That Works

A developer demonstrated how embeddings and vector search enable semantic matching by converting text into numerical vectors, where "cheap hotel" and "affordable accommodation" are geometrically close despite having no k…

18:02
2026-05-25
confluent.io
generative-ai

RAG and GenAI for Regulated and Public Sector Architectures

Confluent Cloud introduces new capabilities for building secure, compliant Retrieval-Augmented Generation (RAG) architectures in regulated industries and the public sector, addressing data residency, PII leakage, halluci…

15:00
2026-05-25
dev.to
large-language-models

Running Local LLM - 0$ Personal Agentic AI Assistant - Part 3

A developer building a free personal AI assistant on Oracle Cloud's ARM instances found that only smaller language models are practical for CPU-only inference. Testing showed that a 3-billion-parameter model delivers acc…

14:47
2026-05-25
dev.to
large-language-models

Building a Local-Only RAG System with Ollama and TypeScript

A developer built a fully local Retrieval-Augmented Generation (RAG) system using Ollama and TypeScript, requiring no API keys or third-party calls. The 200-line command-line tool indexes `.md` and `.txt` files into a SQ…

04:43
2026-05-24
dev.to
artificial-intelligence

How I built a fully offline AI assistant on Android with Gemma 4 E2B

The article describes the creation of PocketClaw, a fully offline Android AI assistant built using Google's Gemma 4 E2B model. The assistant runs entirely on-device with a 1.5 GB INT4 quantized model, enabling features l…

04:24
2026-05-24
dev.to
artificial-intelligence

AI Won’t Replace Developers. Weak Thinking Will.

The article argues that AI will not replace software developers, but that weak thinking and a lack of deep understanding pose the real threat to their careers. It states that AI removes friction from coding tasks, making…

02:52
2026-05-24
dev.to
developer-tools

Custom API vs Custom Action vs Azure Function: Dataverse decision

Here is a factual summary of the article: The article compares three methods for implementing business logic in Microsoft Dataverse—Custom Actions (legacy), Custom APIs (modern), and Azure Functions—focusing on their la…

01:26
2026-05-24
dev.to
developer-tools

React.js ~use() hook for Caching Problem~

The article explains that React's `use()` hook, which reads a promise, can cause an infinite re-render loop if the promise is created directly inside a Client Component, as a new promise is generated on every render. To …

01:20
2026-05-24
dev.to
artificial-intelligence

Agent Series (3): Plan-and-Solve — Think First, Then Act

The article describes the Plan-and-Solve agent architecture, which improves upon the ReAct model by first generating a complete action plan before executing any steps. Unlike ReAct's locally optimal, open-ended loop, Pla…

01:02
2026-05-24
dev.to
developer-tools

E-E-A-T: Google's quality framework explained

Based on the provided text, this document serves as a comprehensive installation and audit reference for implementing Google's E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) framework on any website …

00:02
2026-05-24
dev.to
artificial-intelligence

AI productivity gains are real, but smaller in production

A new meta-analysis of 23 studies on GenAI coding assistants, published on arXiv, found a statistically significant but moderate productivity gain in programming. However, the effect was highly context-dependent and smal…

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