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VibeTunnel: Access Mac Terminal in Any Browser
VibeTunnel is a tool that allows you to turn any browser into your Mac's terminal by proxying your terminals directly into the browser. This enables you to watch output scroll in real-time, type new commands, and spawn fresh sessions on the fly. It is simple to use, with no complex configuration needed, and includes shell integration to make any command or shell available in your browser. Additionally, it can be accessed remotely from anywhere with tailscale or ngrok. VibeTunnel is proudly built by humans and agents, and you can get updates on new features and terminal tips by subscribing. The team behind VibeTunnel accepts support in the form of payments on Polar, with the option to pay what you want on a one-time or monthly basis. To use VibeTunnel, you can download it for Mac or get npm for Linux. The source code is available on GitHub and it is compatible with macOS 14.0 or later. The tool features 80s vibes and is focused on delivering a fun and enjoyable terminal experience.
Cursor CEO Warns Against "Vibe Coding" with AI
Michael Truell, CEO of Cursor, a popular coding assistant, has warned against the practice of "vibe coding" which involves using AI to build code without a deep understanding of the process. Truell, whose company has reached $1 billion in annualized revenue and amassed 300 employees, explained that while AI can help programmers code, it is important to have a certain level of expertise and understanding of the code being written. Cursor, which has over 1 million daily users, embeds AI directly into the integrated development environment where programmers write their code, allowing for more accurate and efficient coding. Truell's warning against vibe coding comes from the potential for shaky foundations and errors in the code when not properly understood.
Letta Code: Memory-First Coding Agent with Continual Learning
Letta Code is a memory-first coding agent that improves with use, unlike traditional coding agents which operate in independent sessions. It utilizes long-lived agents that persist across sessions and learn from experience through agentic context engineering, long-term memory, and skill learning. The more you work with a Letta Code agent, the better it becomes as it accumulates context and memory. Memory Initialization is facilitated through the `/init` command, which encourages the agent to learn about an existing project by running deep research on the local codebase, forming memories, and rewriting its system prompt as it learns. The agent continues to learn automatically, but you can also explicitly trigger it to reflect and learn with the `/remember` command. Skill Learning is a key feature of Letta Code, allowing agents to learn from complex tasks and then reference these skills for similar tasks in the future. This can significantly improve performance on future similar tasks. Skills are stored as .md files, which can be managed in git repositories for versioning and used by other coding agents that support skills. Letta Code also supports the Letta Developer Platform and can be used with a self-hosted Letta server. Additionally, Letta Code is the #1 model-agnostic OSS harness on TerminalBench, achieving comparable performance to harnesses built by LLM providers on their own models. It can be installed with npm or from source, and is designed to work just as well with a frontier model as it would with a specific harness built by the model provider.
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