Hey hey,
What a week(end) in AI coding, with Anthropic battle against OpenAI for the best new frontier model.
But that’s not the only topic, I also decided to re-test the open-source models, and there are also many tips and stories from Claude Code users.
For Paid Substack Subscribers
I Tested Kimi K2.5 vs GLM-4.7 vs Qwen3-Coder on Two Tasks
15-minute video. I used OpenRouter and Cline in VS Code and gave the same tasks to all three models. One of them was a clear winner.
3 Reasons Why I’m NOT Switching to Codex from Claude Code
17-minute video. GPT-5.3-Codex is MUCH better than GPT-5.2. But can it fully replace Claude Code with Opus? I tried to create a realistic project end-to-end with Codex, and... let me show you what happened, in the video below.
My YouTube videos
I Tested Opus 4.6 vs GPT-5.3-Codex on Two Projects (Will I Switch?)
I’ve tried to launch 4 different prompts on the same codebases with both new models. Let me show the results and conclusions.
Claude Code: 5 New “Minor” Features You May Have Missed
People usually see big feature releases like Opus 4.6, but Claude Code team is cooking a lot of new less-visible stuff every week. Let me show you.
NEW Codex App: Work on Multiple Projects/Prompts in One UI
A new tool from OpenAI called Codex App. I think it’s a glimpse to the future how we will work with agents.
From AI Coding Community
We use and love both Claude Code and Codex CLI agents. Public benchmarks like SWE-Bench don’t tell you how a coding agent performs on YOUR OWN...
Did you know you can hook into git commands with Claude Code?
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The PreToolUse/PostToolHooks hooks receive the tool input as JSON on stdin, so you can check if the command is a git command. Let’s go through an example.
Cursor: Composer 1.5 model is now available
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Cursor team found it to strike a strong balance between intelligence and speed. But the price is questionable. One reply on X: “wait, so this is expensive than gpt 5.3 codex, gpt 5.2, gemini 3 pro, claude 4.5 sonnet and you expect people to use it without any providing any benchmarks?”
Claude Code Desktop now supports --dangerously-skip-permissions!
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This skips all permission prompts so Claude can operate fully autonomously. Great for workflows in a trusted environment where you want no interruptions, no approval prompts, just uninterrupted work.
But as the
Strongly recommend explicitly telling Claude Code to only use Sonnet or Opus for sub agents.
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Explore Agent defaults to Haiku, and Task Agent is specified by parent
For large, complex repos, this means high potential of missing key logic
You will see the model used as below:
We’re now making it available as an early experiment via Claude Code and our API.
New for Claude Opus 4.6 - Adjustable effort levels.
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Effort levels control Opus 4.6’s adaptive reasoning, which dynamically allocates thinking based on task complexity.
Lower effort is faster and cheaper, while higher effort provides deeper reasoning for complex problems.
New on Anthropic blog. We tasked Opus 4.6 using agent teams to build a C compiler.
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Then we (mostly) walked away. Two weeks later, it worked on the Linux kernel. Here’s what it taught us about the future of autonomous software development.
In Claude Code v2.1.30, we introduced /debug
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A built-in skill for Claude to read your session’s debug logs and troubleshoot your session.
We’ve added a new command to Claude Code called /insights
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When you run it, Claude Code will read your message history from the past month. It’ll summarize your projects, how you use Claude Code, and give suggestions on how to improve your workflow.
There are two types of Claude Code users : r/ClaudeAI
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Posted in r/ClaudeAI by u/dataoops • 54 points and 11 comments
Head of anthropic’s safeguards research just quit and said “the world is in peril”
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... and that he’s moving to the UK to write poetry and “become invisible”. other safety researchers and senior staff left over the last 2 weeks as well... probably nothing.
That’s a wrap for this week. Keep building with AI!
Povilas Korop
AICodingDaily.com
This post captures the evolving landscape of AI very well, especially with the competitive dynamics among models like Kimi and GLM. For those intrigued by how machines are identifying breakthroughs in fields like physics, my article on machines spotting the impossible might resonate: https://00meai.substack.com/p/machines-learn-to-spot-the-impossible.