Claude Code and Codex, daily, building ShapelessAI, an agent that makes and publishes content. One failure I've seen is agents claiming they verified something they didn't. A completed coding task and a verified user flow are different things; I'd judge the setup by the evidence it produces for the latter.

Claude Code, Codex, opencode (Z.ai GLM-5.x), sometimes Gemini -- most of my work is at Mac iTerm2 CLI or Arch Linux terminal. I sometimes use emacs as the coding agent, but rarely JetBrains IDE or vscode (more for reading/debugging code).

I supplement this with my own vibe-coded tools that help agents plan, perform sagas/steps, stay on track, tools that check the code produced, tools that check the produced documentation, tools/process to limit AI coding agent write access to files outside their assigned project, and tools that allow coding agents to collaborate (shared wiki, mailboxes, gh cli issues, etc.). I have written test frameworks that my AI agents use to detect functional regressions.

On top of this I used web-based or Desktop: Claude, ChatGPT, and/or Gemini to do research, architecture, requirements, planning, design, and later review; to suggest improvements, answer questions, etc.

And I am trying to switch to opencode using local LLMs, served by llama.cpp, Freetoken, or vLLM, on 12G, 16G, and 24G VRAM GPUs. So far the cloud LLMs are faster/better, but recent qwen3.x MoE models look very promising.

Clause Code intergrated with VSCode, but use VS2026 for dev testing