At the Google I/O 2026 keynote, CEO Sundar Pichai declared that AI is shifting from answering questions to executing tasks, marking the "era of agents." Key announcements include the Gemini 3.5 Flash …
Interactive visual guide to LeNet-5, a neural network designed to recognize handwritten digits. It explains key components like convolution and pooling layers, feature maps, filters, and the RBF outpu…
Generative AI is becoming an integral layer of modern software architecture, not a separate feature, and that backend engineers are well-positioned to work in this space due to their existing expertis…
Implementation of a benchmark suite for `intentional-cognition-os`, a TypeScript compiler that uses paid Claude APIs. The benchmarks address key design challenges, including a deterministic, seeded ra…
The author ran three Claude Code sub-agents (an explore-reviewer, security-reviewer, and plan-architect) on the same 500-line pull request and found that the agents disagreed on 41% of their 78 total …
AI coding assistants have not democratized software development but instead widened the skill gap between junior and senior engineers. While both can produce code quickly, a senior developer’s deep ex…
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 th…
French e-commerce teams initially adopted chatbots to handle rising support tickets and repetitive questions, but the focus has shifted from simple FAQ interfaces to deep system integration. In produc…
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 pers…
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…
"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 …
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 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 Dockerize…
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 role…
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 capa…
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-powere…
Engineering behind TitleTrust, an AI-powered land fraud detection system built for Kenya to combat systematic land theft, including "air supply" scams where non-existent plots are sold. The system use…
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 …
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…
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 …