Explains how to use the KAITO RAG Engine on Azure Kubernetes Service to build a Retrieval-Augmented Generation (RAG) system for querying private documents with LLMs.
A developer shares their structured workflow for effectively using AI coding assistants like Claude Code, emphasizing planning, clear specs, and critical oversight.
A quote about Claude Code's potential impact on tech and a predicted industry split between outcome-driven and process-driven developers.
A review of key trends and developments in Large Language Models (LLMs) throughout 2025, focusing on reasoning models, agents, and industry shifts.
A developer's personal journey through a difficult year leads to insights on how AI is transforming software development and enabling the rise of the micro-entrepreneur.
A blog post quoting Armin Ronacher on how AI-assisted programming removes the frustrating labor of coding, leaving the core thinking intact.
A 2025 year-in-review analysis of large language models (LLMs), covering key developments in reasoning, architecture, costs, and predictions for 2026.
A 2025 year-in-review of Large Language Models, covering major developments in reasoning, architecture, costs, and predictions for 2026.
A curated list of notable LLM research papers from the second half of 2025, categorized by topics like reasoning, training, and multimodal models.
A curated list of notable LLM (Large Language Model) research papers published from July to December 2025, categorized by topic.
Boris Cherny shares his experience using Claude Code + Opus 4.5 to write all code for 259 PRs in a month, highlighting AI's coding progress.
A developer reflects on the anxiety and impact of using Large Language Models (LLMs) in programming, balancing skepticism with practical utility.
A software engineer shares practical strategies for effectively using AI coding agents like Claude Code, emphasizing setup and feedback loops.
An introduction to mutation testing, a technique for evaluating the quality and trustworthiness of automated test suites by deliberately injecting faults.
Testing GPU performance on a Raspberry Pi 5 versus a desktop PC for transcoding, AI, and multi-GPU tasks, showing surprising efficiency.
A visual essay explaining LLM internals like tokenization, embeddings, and transformer architecture in an accessible way.
![[notes] Some of Us Actually Like Coding](https://crawljobs-blogs-media.s3.us-east-1.amazonaws.com/alldevblogs/thumbs/article-2d50f68bf2fa-full-8b7d93d2.webp)
A software engineer's perspective on enjoying coding amidst the rise of AI coding agents, arguing for the value of hands-on programming.
Google releases Gemini 3 Flash, a faster, cheaper AI model with strong coding and multimodal capabilities, compared to previous versions.
Explains why large language models (LLMs) like ChatGPT generate factually incorrect or fabricated information, known as hallucinations.
A developer explains their switch from ChatGPT to Claude for coding and technical work, citing Claude Code's effectiveness and personal preferences.
