Hackerman

Hackerman positions itself as the "Emacs of the AI age," a next-generation code editor built from the ground up for developers who want to harness the full power of artificial intelligence in their workflow. It is a modern, AI-native, and profoundly hackable tool designed to be endlessly customizable, much like its spiritual predecessor. By integrating AI at its core, Hackerman aims to streamline development, automate repetitive tasks, and provide intelligent assistance without compromising on user control or privacy.

The editor's philosophy is centered around flexibility and openness. It supports local LLM inference, a critical feature for developers working with sensitive code or those who prefer an offline-first approach. Furthermore, it allows users to mix and match different LLM models, enabling them to choose the best tool for a specific task, whether it's a powerful cloud-based model like GPT-4 or a specialized local model. Everything is treated as a text file, a principle that enhances compatibility with version control systems and makes the entire environment more transparent and accessible to LLMs.

How to use Hackerman

As Hackerman is scheduled for a 2025 launch, the primary way to get involved is by joining the official waitlist.

1. Join the Waitlist: Visit the official Hackerman website and sign up for the waitlist to receive updates, early access opportunities, and launch notifications.
2. Setup and Configuration: Once available, you will download and install the editor. The initial setup will likely involve configuring your AI providers, whether connecting to remote APIs with your keys or pointing the editor to your local LLM installations.
3. Customize Your Environment: Dive into the settings to personalize your experience. Create your own themes, define custom functions, and set up keybindings to match your unique workflow.
4. Code with AI Assistance: Begin coding and leverage the integrated AI chat for questions, code generation, debugging, and refactoring. Use the Emacs-like scratchpad for quick notes and temporary code without cluttering your project.
5. Extend and Hack: For power users, the true potential lies in its 'hackable' nature. Write your own extensions, integrate external tools via the shell, and even bring your own lexer for niche languages.

Core Features of Hackerman

• AI-Native Core: AI is not a plugin but a fundamental part of the editor, providing deep, context-aware assistance.
• Local LLM Inference: Run large language models directly on your machine for maximum privacy, security, and offline capability.
• Mix-and-Match LLM Models: Flexibility to use multiple AI models from different providers (local or cloud) simultaneously.
• Highly Hackable and Customizable: Create custom functions with keybindings, design personal themes, and extend the editor's functionality.
• Integrated Development Tools: In-code access to a shell, a Python evaluator, and an AI chat interface, keeping you in the flow state.
• Emacs-like Scratch Pad: A dedicated space for temporary notes and code snippets that don't require saving to a file.
• LLM-Friendly File Structure: The 'everything as text files' approach simplifies project parsing for AI models and integrates seamlessly with Git.
• Bring Your Own Lexer: Provides advanced support for custom or domain-specific languages by allowing users to define their own syntax highlighting and parsing rules.

Use Cases for Hackerman

Hackerman is ideal for a wide range of developers and programmers, from hobbyists to enterprise professionals. Its primary use cases include AI-assisted software development, rapid prototyping with integrated tools, secure enterprise coding where data privacy is paramount, and academic research involving experimentation with different LLMs. It's particularly suited for power users who love to tinker with their tools and build a development environment perfectly tailored to their needs.

Advantages of Hackerman

The main advantage of Hackerman is its unique combination of power, customization, and privacy. Unlike many cloud-based AI coding tools, its support for local LLMs gives users complete control over their data. The 'hackable' nature, inspired by Emacs, ensures that the tool can evolve with the user's needs, preventing tool-imposed limitations. By being vendor-agnostic with its LLM support, it also protects users from vendor lock-in and allows them to leverage the best of the entire AI ecosystem.

Pricing and Plans

As of now, Hackerman is in a pre-launch phase with a planned release in 2025. Pricing information has not yet been announced. Interested users are encouraged to join the waitlist on the official website to be the first to receive updates on pricing, plans, and availability.