Can confirm – we made the OpenAI MCP server in ~3 days (and scale proof), there’s Sora android app in ~3 weeks and a lot more internal tooling built by codex, reviewed by codex. Hard to see how OpenAI could still ship at the speed it does without codex. Anecdotally, I spend a
CODE
-
Programmer’s passion for the new AI-powered world
By
–
i always loved programming but am loving the new world even more
-
Agent-First Software Engineering Democratizes and Amplifies Creative Potential
By
–
inspiring how agent-first software engineering raises both the floor (much easier for anyone to build) and the ceiling (experts can build so much more) of what people can create
-
Steal this prompt to turn any LLM into a context engineering expert
By
–
Steal my prompt to turn any LLM into a context engineering expert
— God of Prompt (@godofprompt) 24 janvier 2026
Embeds:
→ Anthropic’s official research
→ arXiv taxonomy (1400+ papers)
→ Chroma’s context rot data
→ Claude Code production patterns
Here’s the prompt 👇 pic.twitter.com/S7bLZWSYRNSteal my prompt to turn any LLM into a context engineering expert Embeds:
→ Anthropic’s official research
→ arXiv taxonomy (1400+ papers)
→ Chroma’s context rot data
→ Claude Code production patterns Here’s the prompt -

Free Beginner’s Guide to Machine Learning Fundamentals
By
–
A free beginner’s guide to machine learning: https://
bit.ly/45Ho2rS v/
@swapnakpanda -
Understanding the Codex Agent Loop: A Technical Overview
By
–
fun blog post on the Codex agent loop:
-
GPT-5.2 Enhances Academic Paper Reproducibility Standards
By
–
GPT-5.2 for reproducibility of academic papers:
-

Multi-vendor AI strategy: procuring multiple foundational models
By
–
"A bold decision that we made is that we're not gonna try to pick winners in the horse race between the foundational model providers or the agentic coding tools.
— Latent.Space (@latentspacepod) 23 janvier 2026
What we do instead of trying to pick a single solution, is we will procure, a small number of seats of multiple… https://t.co/wcoTph3MWq pic.twitter.com/LZj5et3NtS"A bold decision that we made is that we're not gonna try to pick winners in the horse race between the foundational model providers or the agentic coding tools. What we do instead of trying to pick a single solution, is we will procure, a small number of seats of multiple
-
Best Time to Code with AI Agents: Morning CET Insights
By
–
Absolutely, noticeable even via the API in other tools — for months now imho! Best time to code with agents is in the mornings CET.
-
Flow Model Architecture: Exploring Layer Configurations and Training Efficiency
By
–
Did you try any different configurations of the flow model than 4 layers? I would generally expect a wider 2 layer to train faster, unless there is some character to the flow problem that needs more abstraction.