An experiment using AI to build a working IndexedDB browser API implementation from scratch, aiming to pass Web Platform Tests.
Explores Pi, a minimal coding agent within the OpenClaw project, highlighting its design, tools, and why the author prefers it for agentic programming.
A developer's 2025 year-in-review focusing on AI documentation projects, including LLMs.txt generation and Kapa AI integration for Expo docs.
A software engineer describes replacing a $120/year SaaS tool with a custom LLM-generated solution in just 20 minutes, questioning the future of simple SaaS.
Martin Fowler critiques the overuse of bold text in technical writing, arguing it diminishes emphasis and suggests better typographic practices.
Kimi K2.5 is a new multimodal AI model with visual understanding and a self-directed agent swarm for complex task execution.
Kimi K2.5 is a new multimodal AI model with visual understanding and a self-directed agent swarm for complex, parallel task execution.
A developer reflects on the dual nature of LLMs in 2026, highlighting their transformative potential and the societal risks they create.
An analysis of using AI to generate automated tests, arguing it misses the point of TDD and reduces testing to a superficial ceremony.
A software engineer's personal journey from skepticism to embracing AI coding assistants, examining the tribalistic debates surrounding LLMs in development.
An overview of inference-time scaling methods for improving LLM reasoning, categorizing techniques and highlighting recent research.
An overview of inference-time scaling methods for improving LLM reasoning, categorizing techniques like chain-of-thought and self-consistency.
Prompt engineering is evolving from a niche skill to a core capability, similar to spreadsheet proficiency, as AI adoption grows across industries.
Explores how companies can effectively market to developers on Reddit, discussing pitfalls, advertising strategies, and platform culture.
Explores developer context-switching challenges and workflow changes when integrating AI coding agents like Claude and Gemini into software engineering.
A computer scientist explains how large language models (LLMs) work, tracing their history from the Turing Test and ELIZA to modern AI, demystifying their operation.
A conversation on how LLMs help shape software abstractions and manage cognitive load in building systems that survive change.
Explores how GenAI tools like ChatGPT are harming the online communities and open-source projects they were trained on, and discusses potential solutions.
![[notes] Thinking About Anything Besides the Big Thing Right Now](https://crawljobs-blogs-media.s3.us-east-1.amazonaws.com/alldevblogs/thumbs/article-c4ebb3c4bdb9-full-1064b50f.webp)
A software engineer explains their decision to avoid writing about dominant tech trends like LLMs, focusing instead on other important and enduring topics in the field.
Explores the AI-driven evolution of software engineering from autocomplete to autonomous agents, shifting the developer's role from coder to orchestrator.
