Description
Bend is a cutting-edge programming language that aims to revolutionize the way AI systems are developed and maintained. It is specifically designed to prevent AI mistakes by incorporating proof verification into the coding process. Bend compiles to native code, achieving speeds nearly as fast as C, and can run on a single core, multiple cores, or even on GPUs, offering up to a hundred times faster execution.
The language employs a unique approach to error prevention by using laws and proofs. Developers can declare laws in LAWS.bend, ensuring that no AI can execute code that violates these laws. This feature is particularly beneficial in scenarios where code correctness is critical, as it guarantees that AI implementations adhere strictly to predefined rules.
Bend's type checker doubles as a proof checker, similar to systems like Lean and Rocq, but with significantly faster performance. It can verify a mid-sized codebase in seconds, allowing AI agents to check for errors after every change. This rapid verification process is crucial for maintaining the integrity of AI applications.
The language is designed to be parallel, eliminating the need for threads, locks, or kernels. It automatically distributes tasks across available cores, optimizing performance without additional complexity for the developer. This feature is particularly advantageous for applications requiring high computational power.
Bend is still evolving, and users are encouraged to report any bugs they encounter. It is best suited for backend development on Linux and macOS platforms. The language's unique combination of speed, parallelism, and error prevention makes it an ideal choice for developers looking to build robust, high-performance AI applications.
Bend's Core Features
Fast compilation to native code
Proof verification for error prevention
Parallel execution on multiple cores and GPUs
Type checker as proof checker
Automatic task distribution across cores
Laws declaration for code correctness
Backend development focus
Supports Linux and macOS platforms
How to use Bend?
Install: Set up Bend on your system
Configure: Add Bend to your AGENTS.md
Use: Instruct your agent to utilize Bend
Optimize: Write laws and parallelize tasks for efficiency
Bend's Use Cases
- AI application development
- Backend development
- High-performance computing
- Code correctness assurance
- GPU-accelerated processing







