📰 Dev.to · pickuma

A 90-day plan for junior engineers joining teams that ship with Copilot, Cursor, and LLM agents. What to learn week-by-week, what to skip, and how to avoid the

OpenAI quietly swapped ChatGPT's default to GPT-5.5 Instant, claiming faster output, sharper reasoning, and tighter accuracy. We examine which claims hold up an

OpenAI's Daybreak (GPT-5.5 + Codex Security) and Anthropic's Glasswing shipped near-identical AppSec products the same week. What the convergence means and how

Anthropic and OpenAI keep shipping new models, tiers, and API features. Here's how to tell a refactor from a headline, sorted into model capability, pricing, an

How Apple Silicon's unified memory architecture makes the Mac Mini a practical local inference node — benchmarks, real costs, setup with Ollama and MLX, and hon

Most LLM inference waste is a scheduling problem, not a hardware one. Continuous batching, KV-cache management, speculative decoding, and model routing cut ener

When an AI agent commits 40 times in an afternoon, git records every diff but none of the reasoning. Agent-native version control stores why each change was mad

OpenAI's GPT-Realtime-2 is the first speech model with GPT-5-class reasoning. Here's what genuinely changes for voice agents — and what to test before you migra

A technical walkthrough of optimizing matrix multiplication in Swift on Apple Silicon — loop reordering, cache blocking, SIMD, multithreading, and GPU offload —

A review of mikeroyal's Self-Hosting Guide, the GitHub resource for running local LLMs, WireGuard VPNs, Home Assistant, and private cloud on your own hardware —

A cost breakdown of running Llama 3.3 70B locally on an M-series Mac Studio versus paying per-token on OpenRouter. The cloud wins by 30-60x at typical developer

arXiv now imposes a one-year submission ban for papers with unchecked LLM errors like hallucinated citations. Here's the policy, why it exists, and the verifica

Reddit's r/programming ran a one-month ban on LLM-generated posts in April 2026. A measured look at what the trial revealed about AI slop, moderation tradeoffs,

Anthropic's Claude Opus 4.7 brings a 1M token context window and improvements for coding agents. Here's what changes for developers building with the Claude API

Unsloth's NVIDIA collaboration claims 1.6x faster LLM fine-tuning and 70% lower VRAM usage for Llama, Mistral, and Qwen. We break down what the numbers actually

Adam Dunkels wired Claude into a user-space TCP/IP stack and benchmarked it against ICMP ping. The latency floor it reveals is the most honest stress test we ha

The case for running models on your laptop instead of paying per-token API bills: where local AI (Ollama, LM Studio, llama.cpp) wins on cost, latency, and priva

A measured developer review of Alibaba's Qwen 3.6 Plus API — pricing vs GPT and Claude, 1M-token context behavior, coding benchmarks, and the access paths that

A hands-on review of ModelScope, Alibaba DAMO Academy's open-source model hub. Covers SDK setup, model discovery, ms-swift fine-tuning, and how it compares to H

A measured guide to running 7B-32B local language models on a base M4 Mac with 24GB unified memory. Model size math, real tokens/sec numbers, and when Ollama, l