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02:55
2026-05-31
dev.to
large-language-models

Making AI-Generated Code Fail Gracefully

A developer building an AI-powered video editing tool implemented silent self-correction for LLM-generated code failures, achieving a 90%+ success rate. Instead of showing users raw Python tracebacks,…

02:24
2026-05-31
dev.to
large-language-models

Anti Refusal LLM Service

A developer built Cerberus AI, a 12MB desktop application using Tauri and Rust that runs uncensored language models locally. The app auto-detects GPU VRAM, pulls appropriate model quantizations, and u…

02:19
2026-05-31
dev.to
large-language-models

Run Gemma-4 E2B-it with llama.cpp on Raspberry Pi4

A developer successfully ran Google's Gemma-4 E2B-it large language model on a Raspberry Pi 4 using llama.cpp, achieving text generation speeds of 1.5 to 1.8 tokens per second. The project involved co…

01:51
2026-05-31
dev.to
ai-agents

Why We Bet on MCP (And What We're Still Figuring Out)

Data Workers, an open-source autonomous agent swarm for data engineering, bet on the Model Context Protocol (MCP) to connect its AI agents to dozens of tools in the modern data stack, rather than buil…

01:43
2026-05-31
dev.to
ai-startups

Hardware Startup Manufacturing in China: A Founder's Guide

A hardware startup founder's guide to manufacturing in China reveals that most crowdfunding campaigns fail not during fundraising but in the four-to-eight-month transition from prototype to factory-re…

01:42
2026-05-31
dev.to
artificial-intelligence

Inworld TTS Paralinguistic Tags Don't Work — Here's What Does

Inworld's TTS-1.5 Max model ignores common paralinguistic tags like `[laugh]` and `[sigh]`, rendering them as silence or literal text instead of expressive audio. Developers at HoneyChat, a Telegram-n…

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