A Macintosh Plus emulator port designed specifically for the Cheap-Yellow-Display (ESP32) board. This project utilizes umac and the Musashi 68k emulator to provide a functional vintage computing experience on modern low-cost hardware, featuring touchpad emulation for mouse control.
Key features include:
- Homebrew Macintosh applications built with Retro68 such as Weather, WiFi status, and CydCtl for hardware control.
- An IPC (Inter-Process Communication) interface between the Mac emulator and ESP32 via memory-mapped regions.
- Integration with Home Assistant through MQTT to display real-time weather data.
- Support for 240x320 LCD displays with touch capabilities.
Key features include:
- Homebrew Macintosh applications built with Retro68 such as Weather, WiFi status, and CydCtl for hardware control.
- An IPC (Inter-Process Communication) interface between the Mac emulator and ESP32 via memory-mapped regions.
- Integration with Home Assistant through MQTT to display real-time weather data.
- Support for 240x320 LCD displays with touch capabilities.
Salesforce has unveiled "Headless 360," a major architectural overhaul designed to transform its platform into programmable infrastructure for AI agents by exposing all capabilities via APIs, MCP tools, and CLI commands. This initiative aims to move beyond traditional graphical user interfaces, allowing developers to build and deploy agentic workflows across various third-party environments like Slack and Microsoft Teams without needing to log into the Salesforce UI directly. By introducing specialized tooling such as "Agent Script" for deterministic control and transitioning toward a consumption-based pricing model, Salesforce is positioning itself to remain the essential substrate for enterprise AI agents in an era where traditional SaaS models face obsolescence.
This repository provides a reference and example implementation for using the Bluetooth Low Energy (BLE) API to connect Claude desktop applications with external hardware devices. It is designed for makers and developers who want to build interactive physical companions, such as desk pets, that respond to Claude sessions through permission prompts, message notifications, and status updates.
Key features and details include:
- Support for ESP32 microcontrollers using the Arduino framework.
- An example implementation of a "desk pet" on M5StickC Plus hardware.
- Capabilities for displaying ASCII animations or custom GIF character packs via BLE.
- A wire protocol based on Nordic UART Service UUIDs and JSON schemas.
- Hardware interaction states such as sleep, idle, busy, attention (for approvals), celebrate, dizzy, and heart.
Key features and details include:
- Support for ESP32 microcontrollers using the Arduino framework.
- An example implementation of a "desk pet" on M5StickC Plus hardware.
- Capabilities for displaying ASCII animations or custom GIF character packs via BLE.
- A wire protocol based on Nordic UART Service UUIDs and JSON schemas.
- Hardware interaction states such as sleep, idle, busy, attention (for approvals), celebrate, dizzy, and heart.
Pimoroni has released new Inky Impression color E Ink displays for Raspberry Pi in 4.0", 7.3", and 13.3" sizes featuring Spectra 6® technology. These low-power, high-resolution screens are designed for easy assembly without soldering and include features like rear-mounted buttons and Qwiic/Stemma QT connectors.
NocKinematics is a modern, modular, and lightweight C++ Inverse Kinematics library designed specifically for Arduino and ESP32 microcontrollers. It utilizes the FABRIK (Forward And Backward Reaching Inverse Kinematics) algorithm to provide fast, iterative computations that are more efficient than traditional Jacobian Matrix approaches. The library is optimized for memory-constrained systems like AVR and ESP8266 by using specialized dynamic memory allocation to prevent RAM fragmentation.
Key features and topics:
* N-Joint Support for arbitrary numbers of connected joints.
* Memory-optimized architecture avoiding heavy std::vector usage.
* Platform agnostic compatibility with Arduino Uno, Nano, Mega, ESP8266, and ESP32.
* Practical implementation examples ranging from basic logic verification to multi-DOF servo motor control.
* Support for complex mechanisms like snake or tentacle simulations via the MultiJointSnake example.
Key features and topics:
* N-Joint Support for arbitrary numbers of connected joints.
* Memory-optimized architecture avoiding heavy std::vector usage.
* Platform agnostic compatibility with Arduino Uno, Nano, Mega, ESP8266, and ESP32.
* Practical implementation examples ranging from basic logic verification to multi-DOF servo motor control.
* Support for complex mechanisms like snake or tentacle simulations via the MultiJointSnake example.
This article explores the evolution of developer workflows, proposing that "skills" are becoming as essential as traditional Command Line Interfaces (CLIs). While CLIs are deterministic and require developers to provide all the necessary context, skills consist of simple Markdown files that teach AI agents how to operate within the specific context of a project.
By using YAML frontmatter and specific instructions, skills can orchestrate multiple tools like git, npm, and gh, adapting to project conventions and stack details automatically. The author argues that skills do not replace CLIs but rather sit on top of them, providing an orchestration layer that enables reasoning, adaptation, and complex multi-step workflows that traditional, static tools cannot achieve alone.
By using YAML frontmatter and specific instructions, skills can orchestrate multiple tools like git, npm, and gh, adapting to project conventions and stack details automatically. The author argues that skills do not replace CLIs but rather sit on top of them, providing an orchestration layer that enables reasoning, adaptation, and complex multi-step workflows that traditional, static tools cannot achieve alone.
The author explores the potential of running an AI agent framework on low-cost hardware by testing MimiClaw, an OpenClaw-inspired assistant, on an ESP32-S3 microcontroller. Unlike traditional AI setups, MimiClaw operates without Node.js or Linux, requiring the user to flash custom firmware using the ESP-IDF framework. The setup integrates with Telegram for interaction and utilizes Anthropic and Tavily APIs for intelligence and web searching. Despite the technical hurdles of installation and potential API costs, the project successfully demonstrates a functional, sandboxed, and low-power personal assistant capable of persistent memory and routine tracking.
This article explores the "Ralph" technique, a method for using Large Language Models (LLMs) to automate software engineering through continuous, autonomous loops. Rather than seeking a perfect prompt, the author advocates for a "monolithic" approach where a single process performs one task per loop, guided by strict specifications and technical standard libraries. The author demonstrates this by using the technique to build "CURSED," a brand-new programming language, even in the absence of training data for that specific language. By managing context windows through subagents and implementing robust backpressure via testing and static analysis, the "Ralph" technique aims to significantly automate greenfield software development projects.
The Ralph Wiggum plugin implements a development methodology designed for iterative, self-referential AI development loops within Claude Code. Based on the concept of continuous AI agent loops, the plugin uses a Stop hook to intercept exit attempts, effectively feeding the same prompt back to the agent until a specific completion promise is met. This allows the AI to autonomously improve its work by observing its own previous outputs, file modifications, and git history. It is particularly well-suited for well-defined tasks with clear success criteria, such as building APIs or passing test suites, emphasizing the philosophy that persistent iteration is more effective than seeking immediate perfection.
TinyProgrammer is an innovative Raspberry Pi project that brings a local Large Language Model (LLM) to life as a digital desk companion. Designed to simulate a human-like workflow, the device spends its day coding Python projects, typing at a natural speed, and even managing its own moods based on success or failure. To prevent burnout, the AI "clocks out" at night, transitioning to a screensaver. Additionally, the project features TinyBBS, a social platform where different TinyProgrammer devices can interact, share code, and joke with one another. This project is highly accessible, as it can run on hardware like the Raspberry Pi 4B or Pi Zero 2 W.
