Developer tools news — AI coding assistants, IDEs, CLI tools, APIs, and productivity tools for software engineers. GitHub Copilot, Cursor, and more.
Three free AI tools in three hours using DeepSeek's API: a cover letter generator, a resume analyzer, and a code explainer. The author emphasizes that effective prompt engineering is more important than the choice of AI …
Yeunjoo Choi, a developer at the open-source consultancy Igalia, has spent 15 years working on web browsers, currently focusing on Chromium-based enterprise browsers. Her recent work involves implementing specialized fea…
Meryem Arik, CEO of Doubleword, presented on the importance of AI model gateways as a solution for managing the complexity that arises when decentralized teams use multiple inference providers (like OpenAI, Mistral, or s…
At Google I/O 2026, the traditional search box evolved from a simple input field for keywords into an "agent layer" where users can express complex intent, attach context, and initiate tasks that persist over time. This …
ARES (Adaptive Reasoning Effort Selection) is a framework that reduces the cost of multi-step LLM agent tasks by using a lightweight router to predict the minimum reasoning effort needed for each step, rather than applyi…
"konid," a language-learning MCP server built by the author after six months of translating Japanese work emails. Unlike standard translation tools, konid returns three options per query ordered from casual to formal, ex…
A developer's challenge with "AI spaghetti code" when orchestrating multiple AI agents using tools like Superpower, where sub-agents lose context from parent rules and produce messy, over-complex code. The author seeks a…
The author published a popular Dev.to article about building a local RAG system using Docker and Llama 3, which generated significant engagement and algorithm-friendly buzz. However, the $59 Dockerized RAG toolkit promot…
Mirabile is an AI-powered career roadmap platform designed to help users land jobs at top tech companies like Google. It generates personalized, company-specific learning journeys for engineering roles by taking a user's…
Google AI Studio now supports native Kotlin development for Android apps, integrating with Firebase services to create full-stack applications using the Gemini 3.5 model. The author used this new capability to build an a…
Based solely on the provided text, the author describes their internship at Mantis Software Company, where they learned about AI-assisted development and prompt engineering while creating an AI-powered RPG called "Past L…
The Model Context Protocol (MCP) is a standardized communication framework that acts as a universal bridge, enabling AI models to seamlessly connect with external tools, databases, APIs, and software systems without requ…
This article reviews two technical approaches from GeekyAnts: AI-driven end-to-end testing using Playwright 1.56’s agentic loop, and custom mobile image processing in React Native using the Expo image manipulator. It hig…
Embedding and processing CJK (Chinese, Japanese, Korean) text in Rust is significantly more complex than handling Latin scripts due to the enormous size of CJK fonts, which require font subsetting to be practical. Subset…
New blog series aimed at tracking the frequent renaming and rebranding of technologies, services, and companies in the fields of Cloud, AI, and Web Development. The author explains that the series will explore topics suc…
Using AI for coding does not compensate for a developer's lack of fundamental knowledge; instead, it amplifies weaknesses by executing flawed instructions with confidence. The author illustrates this with examples where …
Phase 2 of the .NET AI Architect Laboratory project, where an autonomous AI agent was built using .NET 10, Google Vertex AI, and Microsoft Semantic Kernel to analyze local project files for security vulnerabilities and p…
Author's personal .NET AI Architect Laboratory project, which aims to deeply understand the engineering principles of integrating Large Language Models (LLMs) into applications rather than just using quick-start guides. …
AI coding agents fail in real-world projects not because the models are unintelligent, but because they lack the necessary infrastructure—such as conventions, memory, and project architecture—to operate effectively. With…
The article describes an interactive demo called "Stick," which features a stick figure that is reconstructed from primitive exclusion parts on every frame. The text dynamically wraps around the figure's current pose, wh…