Developer launches KillSwitch, a programming language designed to be difficult for LLMs
A new programming language positioned as safe for both LLMs and humans to write and collaborate in. LLMs are the target co-authors of code, aiming to reduce risks of unsafe generated code. It addresses the problem of reliably integrating AI-written code for developers.
A new programming language positioned as safe for both LLMs and humans to write and collaborate in. LLMs are the target co-authors of code, aiming to reduce risks of unsafe generated code. It addresses the problem of reliably integrating AI-written code for developers.
Linkly is a new programming language specifically designed for large language models, with a compiler built on MLIR. It aims to make it easier to develop and optimize LLM-based applications by providing a high-level, LLM-oriented syntax and leveraging MLIR's optimization capabilities.
Linkly is a new programming language specifically designed for large language models, with a compiler built on MLIR. It aims to make it easier to develop and optimize LLM-based applications by providing a high-level, LLM-oriented syntax and leveraging MLIR's optimization capabilities.
FAIth is a JVM language that eliminates syntax by using an LLM front-end to compile natural language descriptions into executable code. It aims to lower the barrier for programming by allowing developers to express logic in plain language, which is then translated into a formal language. This solves the problem of syntax learning and speeds up prototyping for developers and non-programmers.
FAIth is a JVM language that eliminates syntax by using an LLM front-end to compile natural language descriptions into executable code. It aims to lower the barrier for programming by allowing developers to express logic in plain language, which is then translated into a formal language. This solves the problem of syntax learning and speeds up prototyping for developers and non-programmers.
A blog post by Michael Fogus examines why hobby programming communities are increasingly hostile to LLM usage, framing it as a cultural and aesthetic rejection rather than purely technical. The post argues that LLM-generated code conflicts with the values of craftsmanship and learning that define these communities.
A blog post by Michael Fogus examines why hobby programming communities are increasingly hostile to LLM usage, framing it as a cultural and aesthetic rejection rather than purely technical. The post argues that LLM-generated code conflicts with the values of craftsmanship and learning that define these communities.
A post by Dan Luu explores which programming languages are most token-efficient for coding agents, sparking discussion on Hacker News. The thread links to a related January 2026 discussion on the same topic, indicating ongoing community interest.
A post by Dan Luu explores which programming languages are most token-efficient for coding agents, sparking discussion on Hacker News. The thread links to a related January 2026 discussion on the same topic, indicating ongoing community interest.