I Tried 100+ Claude Skills. These 6 Actually Changed How I Work.
Author(s): Divy Yadav Originally published on Towards AI. After testing more than 100 Claude Code skills, only six became part of my daily workflow. Here is what each one does. I built more than 100 Claude Code skills. Photo from AIThe author …
I Built the Same Agent in LangGraph, CrewAI, and AutoGen — Microsoft Quit the 56K-Star Favorite
Author(s): Chew Loong Nian – AI ENGINEER Originally published on Towards AI. I Built the Same Agent in LangGraph, CrewAI, and AutoGen — Microsoft Quit the 56K-Star Favorite I spent a weekend building the exact same two-agent pipeline three times — once …
Sakana Trained One AI to Command GPT-5.5, Opus, and Gemini — It Cracked 73.7 Where They Stalled at 69
Author(s): Chew Loong Nian – AI ENGINEER Originally published on Towards AI. Sakana Trained One AI to Command GPT-5.5, Opus, and Gemini — It Cracked 73.7 Where They Stalled at 69 Two days ago a Tokyo lab shipped a model that scored …
Once an AI Agent Removes Typing, Intent Becomes the Bottleneck
Author(s): Venkat Peri Originally published on Towards AI. Once an AI Agent Removes Typing, Intent Becomes the Bottleneck When a coding agent can produce a working module faster than a person can type it, the slow step becomes knowing exactly what you …
Benchmarking RAG Architectures Locally on a Real Financial PDF — Part 3: The Measurement Problem
Author(s): Ali Enver Arslan Originally published on Towards AI. Benchmarking RAG Architectures Locally on a Real Financial PDF — Part 3: The Measurement Problem Part 3 of a three-part series. Part 1 covered the setup and the text-retrieval methods; Part 2 covered …
Benchmarking RAG Architectures Locally on a Real Financial PDF — Part 2: Escaping the Text Layer
Author(s): Ali Enver Arslan Originally published on Towards AI. Benchmarking RAG Architectures Locally on a Real Financial PDF — Part 2: Escaping the Text Layer Part 2 of a three-part series. Part 1 covered the document, the extraction, the evaluation setup, and …
Benchmarking RAG Architectures Locally on a Real Financial PDF — Part 1: The Text Layer
Author(s): Ali Enver Arslan Originally published on Towards AI. Benchmarking RAG Architectures Locally on a Real Financial PDF — Part 1: The Text Layer Part 1 of a three-part series. Some of the most useful documents in a bank are also the …
Loop Engineering
Author(s): Rick Hightower Originally published on Towards AI. The Bottleneck Is Not the Model. It is you. Stop being the loop. Start designing the system that does the work. Let’s play AI buzzword bingo! After introducing the term “Loop Engineering,” the article …
Claude Agent SDK Custom Tools and MCP: The Built-In Tools Got You Started. These Three Moves Are How the Agent Grows Up.
Author(s): Rick Hightower Originally published on Towards AI. Part 7: Custom tools let your Claude agent call your code. MCP connects it to the outside world. Subagents let it delegate. Here is how all three fit the same agent without bloating it. …
5 Python Frameworks That Put You Ahead of 90% of AI Beginners
Author(s): Divy Yadav Originally published on Towards AI. Not a list to memorize. The 5 real gaps that decide whether your AI project ships, or dies on your laptop. A beginner spent three weekends building an AI app that summarized PDFs. It …
Vector Database for RAG (The Top 10 to Know in 2026)
Author(s): Asad Iqbal Originally published on Towards AI. Qdrant alternatives, including local + open source vector db If you are not a premium Medium member, read the full guide FREE here and consider joining medium to read more such guides. The article …
Building AI Agents in Rust — part 4
Author(s): Enzo Lombardi Originally published on Towards AI. State machines for multi-step tasks The loop in Part 1 handles a class of question that fits in one breath: read this file, list that directory, answer the user. Two turns, three turns, done. …
Building AI Agents in Rust — part 5
Author(s): Enzo Lombardi Originally published on Towards AI. Multi-agent crews The single-agent loop in Part 1 was enough for one question, one tool, one answer. The state machine in Part 4 handled a task with phases. Neither helps when the work itself …
Building my own LLM-Wiki Research Team
Author(s): Dylan Tartarini Originally published on Towards AI. Compounding knowledge using AI Agents Some time ago, Andrej Karpathy released a Github GiST containing a guide, or better, an intuition on how to build one’s own personal knowledge base. The core philosophy behind …
Why ChatGPT Is More Than Autocomplete
Author(s): GSO1 Originally published on Towards AI. Why ChatGPT Is More Than Autocomplete Figure by the author with assistance from Claude (Anthropic) Calling a large language model (LLM) like ChatGPT “autocomplete” is not exactly wrong, but it is deeply misleading. Most of …
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