Observed Signal · Jul 11, 2026 · Technical Release · Source: t3n · Impact: 1/5 · Sentiment: Neutral
Developer Creates 'Cutlet' Language Using Claude Code
Developer Ankur Sethi used the agentic AI tool Claude Code to design a new programming language called Cutlet over four weeks. Cutlet is open-source on GitHub, runs on Linux and macOS, and can execute small deterministic programs; it supports variables, functions, logical operators and booleans and shows similarities to Lua and Python. Sethi says Claude Code produced most of the code but required human planning, skills and discipline to guide the agent. He also warns that working with AI agents harmed his mental health due to their unpredictable, slot-machine-like behavior and set personal usage limits. Sethi intends to hand the project to the community as he prepares to start a new job.
Small open-source technical project demonstrating LLM/AI-agent capability; interesting as an example but limited direct impact on the wider AdTech/MarTech industry.
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Key Takeaways & Evidence Grounding
- Developer Ankur Sethi used the AI agent Claude Code to design the programming language Cutlet over four weeks.
- Cutlet is published as an open-source project on GitHub.
- Cutlet runs on Linux and macOS and can execute small deterministic programs; it supports variables, functions, logical operators and booleans.
- Sethi reports Cutlet bears strong similarities to Lua and Python, reflecting the training data Claude Code was trained on.
- Sethi said working with Claude Code negatively affected his mental health and that he set limits to avoid dependence on the agent.
Connected Companies & Entities
4 Entities mapped“The article includes external content from Podigee GmbH that supplements t3n.de's editorial offering....”
“The article includes external content from TargetVideo GmbH that supplements t3n.de's editorial offering....”
“Sethi made Cutlet available as an open-source project on GitHub....”
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Ontology Mapping & Concepts
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Claude Code: From Terminal Tool to Agentic AI OS
This technical guide explains why Claude Code represents a new class of developer tool and how Anthropic is productizing it into a managed, enterprise-grade agentic OS. Unlike prior code assistants that worked file-by-file, Claude Code reads whole projects (filesystem + git history) and runs an autonomous TAOR (Think–Act–Observe–Repeat) loop that lets the model orchestrate multi-step tasks. The author contrasts Claude Code with the open-source OpenClaw architecture (large GitHub traction but security exposure) and notes Anthropic’s strategy: expand Claude Code’s scope (remote control, browser automation, Office integrations, desktop Cowork, hooks/skills with verified publishers, Agent SDK) while holding the trust boundary to solve security and compliance. The piece cites adoption signals (roughly 4% of public GitHub commits attributed to Claude Code, projected 20%+ by end of 2026) and highlights operational and supply-chain risks tied to agentic systems.
IllusionCode: Python Implementation of Claude Code
IllusionCode is an open-source, AI-powered command-line programming assistant released by author YunTai on May 16, 2026. The project implements Claude Code's prompt system and multi-agent architecture in Python, integrates ideas from OpenHarness and OpenClaw, and supports flexible proxy routing via cc-switch. It provides deep Windows optimizations, automatic bilingual (Chinese/English) CLI output, enhanced Markdown terminal rendering, a modern Ink/React-based TUI, and extensibility through plugins, MCP dynamic tools, and project-level configuration. IllusionCode supports multiple AI providers (Anthropic Claude, OpenAI, GitHub Copilot, OpenAI Codex), ships with 34 built-in tools, 51 slash commands and 7 specialized agents, and requires Python >= 3.10 and Node.js. The source repository is published on GitHub.
Anthropic recounts the making of Claude Code
Anthropic published a 'making of' account detailing the technical and product evolution that produced Claude Code, its coding-assistant AI. The company started with a VS Code extension in early 2022 (about 100 external users) and iterated through internal command-line tools (Clide), demos and Claude CLI before launching Claude Code as the successor to Claude CLI in early 2025. Anthropic engineers and leaders quoted include co‑founder and Labs lead Ben Mann, Head of Reinforcement Learning Shauna Kravec, Boris Cherny and Raphael Lee. The piece describes agentic-coding milestones (Function Calling, search tools), cites model roadmaps (Claude Sonnet, Fable and Mythos series) and gives internal adoption anecdotes—e.g., engineers reporting Claude Code authored increasing shares of their code in 2025. The article places Claude Code in competitive context with OpenAI and Google and cites Anthropic data on rising usage of coding agents.
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