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TechnologyDev.to• 1d ago

The boring layer around your LLM call

Most of what I learned this year came from building the interesting parts. The retrieval, the prompts, the agent loop. The stuff that's fun to think about.

TechnologyHacker News• 1d ago

Read HN twice a day for the last decade. Here's my list of S-Tier HN links

- Everyday I read 2 pages of HN in the morning and 2 in the evening for years now - Of late, I noticed that most of the stuff on the 1st 2 pages is AI this, AI that, LLM this, LLM that, model here, model there - Today I am going to attempt to break that trend by sharing the greatest resources on ...

TechnologyDev.to• 1d ago

The LLM is an ALU - Lessons from a ZX Spectrum

Every time your LLM agent calls a tool and reads the result, you're paying a tax. Not in dollars — in tokens, latency, and reliability (ok, dollars then). The tool's output gets serialized into text, tokenized into the context window, attended to by the model, and then re-serialized when the mo...

TechnologyHacker News• 1d ago

Show HN: An open-weight background removal model for difficult images

For many everyday images, background removal works well. The remaining challenge is images with fine hair, fur, glass, transparent objects, motion blur, low-contrast subjects, or cluttered backgrounds. Improving results on those difficult cases has been the focus of this project.

TechnologyDev.to• 1d ago

Node.js Image API Experiment: Developer Experience, Docs, and Payload Contracts

TL;DR For a junior-friendly web app, I would choose the text-to-image API with the clearest REST request, stable documentation, and most predictable response format, not the longest model menu. My test is deliberately boring: can I validate one payload, make one generation call, preserve error d...

TechnologyDev.to• 1d ago

Building Cinematic Depth in the Browser with Depth Anything V2 Small and WebGPU

Introduction We recently added Cinematic Depth to Timeline Studio , an open-source browser video editor. The feature runs Depth Anything V2 Small through WebGPU, analyzes images and video frames locally, and turns the resulting depth data into an adjustable depth-of-field effect. Source media n...

TechnologyDev.to• 1d ago

AI Adoption Is Not an Operating Model

The investor mandate was unambiguous: become AI-native immediately and establish an advantage before the market caught up. The organization responded with speed. Teams automated work, created new capabilities, and changed how functions operated.

TechnologyDev.to• 2d ago

A JSON Schema Safety Harness for Choosing a Text-to-Image API

TL;DR Short answer: choose an image generation API only after your own prompt-safety eval passes, and use a chat model with a strict JSON Schema when the runtime has no dedicated moderation endpoint. I would use Infrai when I expect the app to grow into several backend capabilities under one con...

TechnologyDev.to• 2d ago

Waste: Tackling Massive AI Models with an Innovative Streaming Approach

A new GitHub project titled "Waste" aims to tackle the challenges of running enormous AI models in environments with limited RAM. By leveraging a streaming mechanism to pull activated weights directly from NVMe storage, developers can execute the hefty 2. 78-trillion-parameter Kimi K3 model with...