pmatos rambles

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Link Log

Interesting links I've found around the web, summarized and tagged for easy reference.

Chrome DevTools (MCP) for your AI agent

· #chrome #devtools #mcp #ai

The webpage announces the launch of a public preview for the new Chrome DevTools Model Context Protocol (MCP) server, which allows AI coding assistants to debug web pages directly in Chrome and benefit from DevTools debugging capabilities. This improves the accuracy of AI agents when identifying and fixing issues in web development. The article provides details on what MCP is, how it can be used for various debugging and performance tasks, and how to get started with the Chrome DevTools MCP server.

Announcing Agent Payments Protocol (AP2) | Google Cloud Blog

· #agent #payments #protocol #commerce

Google has announced the Agent Payments Protocol (AP2), an open protocol developed with leading payments and technology companies to facilitate secure and trusted agent-led payments across platforms. AP2 aims to establish a common framework for users, merchants, and payment providers to transact with confidence, addressing key challenges like authorization, authenticity, and accountability in AI-driven commerce. The protocol leverages mandates and verifiable credentials to create a non-repudiable audit trail, enabling new commerce experiences like smarter shopping, personalized offers, and coordinated tasks. AP2 is designed to support a variety of payment methods, including cryptocurrencies, and Google is inviting the broader payments and technology community to collaborate on its evolution.

Coders End, From Typers To Thinkers | etsd.tech

· #software-development #coding #problem-solving #mindset

This article discusses how the role of software developers is evolving with the rise of AI, shifting from "typers" to "thinkers" focused on architecture, abstraction, and high-level design. The author shares their personal experience of using AI to handle the implementation details, allowing them to focus on the core aspects of software development like system design, naming, and communication. The article argues that the true value of developers lies in these higher-level, architectural tasks, rather than just coding, and encourages readers to think of themselves as architects rather than just coders.

Galois - Claude Can (Sometimes) Prove It

· #galois #claude #verification #proof

This webpage discusses how the AI coding agent Claude Code from Anthropic has shown surprising capabilities in interactive theorem proving (ITP), an area typically considered very challenging for AI. The article explores how Claude Code can assist with various aspects of proof engineering, such as conceptual reasoning, translating ideas into formal languages, decomposing theorems, and debugging proof failures - tasks that often require significant human expertise. The author suggests that Claude Code points to a future where ITP tools can be more accessible to a wider audience, not just expert mathematicians and computer scientists.

Cerebras

· #ai #hardware #software #tools

Cerebras is launching two new plans, Cerebras Code Pro and Cerebras Code Max, that provide access to Qwen3-Coder, a powerful open-weight coding model capable of generating code at up to 2,000 tokens per second with a large context window. These plans aim to make AI-powered code generation faster and more accessible, allowing developers to integrate the model into their preferred IDEs and workflows.

GitHub - ruvnet/claude-flow: 🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code support via MCP protocol. Ranked #1 in agent-based frameworks.

· #agent-orchestration #conversational-ai #swarm-intelligence #claude-flow

This GitHub repository presents Claude-Flow, a leading agent orchestration platform for the Claude AI system. It allows users to deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. The platform features enterprise-grade architecture, distributed swarm intelligence, integration with RAG (Robust Agent Governance), and native support for Claude Code via the MCP (Modular Coordination Protocol) protocol. Claude-Flow is ranked as the #1 agent-based framework and provides a comprehensive set of tools and capabilities for developing advanced AI-powered applications.

Taskmaster AI - The PM for your AI agent

· #taskmaster #ai #workflow #performance

Taskmaster AI is a platform that aims to be the "project manager" for your AI agent. It provides tools and services to help developers manage, monitor, and optimize their AI systems, ensuring they operate effectively and efficiently. This service could be useful for organizations and teams working on complex AI projects that require close monitoring and coordination.

Claude Code Sub-Agents: When NOT to Use Them

· #claude #subagents #ai #assistant

This article discusses the limitations of using Claude Code sub-agents for coding tasks, despite their advantages for research and analysis. Sub-agents suffer from context isolation, leading to significantly higher token consumption and the inability to share context between tasks, which often results in contradictory code outputs. The article presents alternative approaches, such as the "Service Expert Method" and the "Claude Flow Framework," which aim to overcome these limitations by managing context more effectively. It suggests that the future of AI-assisted development lies in understanding the strengths and weaknesses of sub-agents and adopting appropriate context management strategies, rather than forcing sub-agents to handle tasks they are not designed for.

Improve your AI code output with AGENTS.md (+ my best tips)

· #ai #code #agents #prompts

This webpage provides a detailed guide on how to use the AGENTS.md file to improve the output of AI-generated code. The author shares their best practices for creating an effective AGENTS.md, including specifying version requirements, preferred coding patterns, project structure, and API documentation references. The goal is to give AI agents clear guidelines and context to produce higher-quality and more consistent code that aligns with the project's standards. The author also emphasizes the importance of providing concrete examples and a PR checklist to ensure the generated code meets the project's requirements.

Context Engineering Series: Building Better Agentic RAG Systems - Jason Liu

· #context #engineering #artificial-intelligence #machine-learning

This article discusses the concept of "context engineering" for building better "agentic RAG (Retrieval-Augmented Generation) systems". The author, Jason Liu, shares insights from his experience helping companies build these systems and studying coding agents from various providers. The series covers topics such as designing tool responses and interaction patterns to give agents better situational awareness, using faceted search and metadata to provide navigational context, and strategies for managing context pollution and agent compaction. The overall goal is to enable agents to effectively explore and navigate complex information spaces, beyond just consuming data chunks. The article provides a roadmap for how engineering teams, product leaders, and researchers can apply these context engineering principles to their own agent-based systems.

Claude Code Docs, Guides & Best Practices | ClaudeLog

· #claude #ai #documentation #bestpractices

This webpage provides a comprehensive guide and documentation for Claude, an AI assistant developed by Anthropic, and Claude Code, a coding tool that integrates with the user's development environment. It covers the key features and capabilities of Claude and Claude Code, as well as the author's personal experiences and insights on using and optimizing the technology. The content is aimed at providing practical, community-tested techniques and best practices for getting the most value out of Claude Code in real-world development scenarios.

SEO Is Dead. Say Hello to GEO.

· #seo #geo #local-marketing #search-engine-optimization

This article discusses the decline of traditional search engine optimization (SEO) and the rise of a new approach called "generative-engine optimization" (GEO) or "answer-engine optimization." It explains how the emergence of AI chatbots like ChatGPT, which can directly provide answers to queries instead of just linking to websites, is disrupting the SEO industry. The article outlines strategies for adapting to this change, such as creating content that is easy for chatbots to summarize and cite, and using AI tools to generate content optimized for these new search paradigms. The article suggests that the future of online visibility will involve a shift towards creating content that is helpful and informative for both human users and AI systems.

Agentic Coding Recommendations | Armin Ronacher's Thoughts and Writings

· #agentic #coding #recommendations #python

This blog post discusses the author's recommendations and practices for "agentic coding" - using AI language models like Claude Code to assist with programming tasks. Key points include: using the cheaper Sonnet model, optimizing for token efficiency, assigning tasks to an AI agent, leveraging tools and languages (like Go) that are well-suited for agentic coding, and ensuring tools are fast, user-friendly, and provide good observability. The author shares their specific workflows and experiences to help others navigate this rapidly evolving field.

SWE-bench Leaderboards

· #software-engineering #benchmarking #performance #rankings

The webpage provides an overview of the SWE-bench leaderboards, which track the performance of various models on different benchmarks for software engineering tasks. It includes information on the SWE-bench Verified, Lite, and Multimodal datasets, as well as recent news and updates on the project, including the development of the mini-SWE-agent and the SWE-smith paper. The page also acknowledges the support of several institutions that have contributed to the project.

Some thoughts on LLMs and Software Development

· #llms #software-development #code-generation #ai-in-software

This article by Martin Fowler provides some thought-provoking insights on the impact of large language models (LLMs) on software development. Fowler cautions that surveys on the effects of AI may be misleading, as they often fail to account for the different ways developers are using LLMs, such as direct code editing rather than just autocomplete. He also expresses uncertainty about the future of programming and the potential impact of LLMs, encouraging experimentation and sharing of experiences. Additionally, Fowler discusses the inherent risks of LLMs, such as their tendency to hallucinate and the increased attack surface they create for software systems, particularly in browser-based applications.

The Interactive Handbook on Data Structures and Algorithms

· #data-structures #algorithms #interactive #handbook

The Interactive Handbook on Data Structures and Algorithms is an interactive and engaging resource that allows readers to visualize and experiment with various data structures and algorithms. It provides concise explanations, interactive visualizations, customizable code snippets, and a wide range of practice problems, making it a valuable tool for students, self-learners, and professionals preparing for technical interviews or seeking a comprehensive reference on the subject. The book prioritizes active learning and offers a unique approach to understanding fundamental computer science concepts.

Vibe Coding Terminal Editor

· #terminal #coding #editor #text-editor

This blog post discusses the author's experience developing a terminal-based code editor using a language model (LLM) like Claude. The key points are: 1. The author used an iterative workflow of writing a plan, prompting the LLM to complete tasks, and then reviewing and refining the work, rather than relying on the LLM to generate a complete solution. 2. The author found that LLMs excel at "whiteboarding" - generating initial solutions, but struggle with iterative improvement based on subjective quality metrics. Providing a clear specification and test suite helped guide the LLM's development. 3. The author shares lessons learned about architecting the project for testability, using a "snapshot" function to easily regenerate the test suite, and the trade-offs of maintaining a custom tool built with an LLM. The post provides practical insights into using LLMs for coding tasks and highlights the importance of engineering the right development workflow and tooling to leverage their strengths.

Vibe Coding as a Coding Veteran. From 8-bit Assembly to English-as-Code | by Marco Benedetti | Aug, 2025 | Level Up Coding

· #coding #veteran #assembly #evolution

This article describes the author's experience of "vibe coding" - using AI coding assistants to co-develop a software project implementing algorithms to solve the Tower of Hanoi puzzle. The author, an experienced programmer with a PhD in AI, was impressed by the AI assistants' programming capabilities and ability to reason about the problem. The article compares the performance of different AI coding assistants and discusses the collaborative nature of the development process, which involved over 300 exchanges between the author and the AI. Overall, the article provides an insightful look at the current state of AI-assisted software development.

FEX-Emu – A fast linux usermode x86 and x86-64 emulator

· #fex #emulator #x86 #linux #usermode

FEX-Emu is a fast Linux usermode emulator that allows users to run x86 and x86-64 applications on ARM64 Linux devices, similar to QEMU-user and Box64. It offers broad compatibility with both 32-bit and 64-bit binaries, supports forwarding API calls to host system libraries to reduce emulation overhead, and features an advanced binary recompiler with support for modern x86(-64) instruction set extensions. The emulator also includes a user-friendly configuration system and can be used alongside Wine/Proton to play Windows games.