Introducing Images 2.6
Images 2.6 brings faster image generation, GIF creation, more precise editing, and new API controls across ChatGPT, Codex, and the API.
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Route and orchestrate models with GitHub Copilot Fusion
GitHub Copilot Fusion is generally available. Instead of picking a model for each task, choose Copilot Fusion and let Copilot intelligently route and orchestrate which models it uses for you.… The post Route and orchestrate models with GitHub Copilot Fusion appeared first on The GitHub Blog.
GitHub Copilot app, Universe releases
Work doesn’t always fit in a single repository or session. A feature can span several repositories. A launch plan can pull in specs, designs, and assets without touching a repository… The post GitHub Copilot app, Universe releases appeared first on The GitHub Blog.
Security extension for the GitHub Copilot app
You can now work through your repository’s GitHub code scanning alerts without leaving the GitHub Copilot app. The new GitHub security extension, now in public preview, lets you find the… The post Security extension for the GitHub Copilot app appeared first on The GitHub Blog.
GitHub intelligence puts your code, context, and history to work
Agents should understand more than your codebase—they should understand how your team works. Your preferences, repository conventions, skills, and custom instructions guide how changes should be made, while code in… The post GitHub intelligence puts your code, context, and history to work appeared first on The GitHub Blog.
Coding From the Himalayas With an Offline AI Agent
How to set up and run an offline coding agent using OpenCode, Ollama and Qwen.
Letta platform releases a tutorial on building stateful engineering collaborators: supporting core memory, shared state, and portable workflows.
MarkTechPost published a tutorial on October 24, 2026, detailing how to build an agentic copilot with persistent state using the Letta framework. The guide covers capabilities such as verifiable core memory, multi-agent shared memory, semantic retrieval of archived knowledge, custom Python tool integration, streaming responses, and .agent format (.af) export. The content serves as a technical practice guide and does not provide performance metrics, security audits, or production‑environment validation.
Tokenmaxxing and the Collapse of Coding Costs
Two developers used AI coding agents to recreate Claude Code's core architecture in a matter of hours, challenging the economics of traditional software development.
sparqlite: SPARQL 1.1 inside SQLite, written in Rust
Research: sparqlite: SPARQL 1.1 inside SQLite, written in Rust This research task is really an experiment in running Claude Code for web in "Ultracode" mode, as described in Orchestrate subagents at scale with dynamic workflows in the Claude Code documentation. With Ultracode turned on, Claude Code makes aggressive use of dynamic workflows - it generates JavaScript that defines and coordinates a network of subagents to take on complex problems. My initial prompt was this - I meant "hit the rows directly", the word "delete" was an accidental typo on my phone: Write a SQLite extension in Rust that implants SPARQL and runs really fast because it can hit the delete rows directly This caused Claude Code for web to churn for over 12 hours. I checked in on its progress the next day and sent a sin
How Third Moment Research runs 10,000 agents for 36+ hours
With GPT-6 Astra and GPT-6.1 Sol, Codex, and Daybreak for cybersecurity, this AI lab builds agents that focus for days and improve with use.
Profiling web-edit with Python 3.15: flame graphs and source heatmaps
Research: Profiling web-edit with Python 3.15: flame graphs and source heatmaps I put the new Python 3.15 profiler through its paces by having GPT-6 Astra Extra High in Codex run it against my new web-edit app: I need a Python 3.15 flame graph and heatmap demo of the "web-edit" app from PyPI - research first then make me those demos Here's the resulting example flame graph and heatmap. Tags: profiling, python, codex
Are you a Codex Original?
We’re collecting real stories of builders, tinkerers, researchers, and creators who are using Codex to do incredible things. If you want to be a part of the next chapter of the Codex Originals program, tell us more about your story and project below.
How a researcher uses Codex and ChatGPT to search for new antimicrobial molecules
César de la Fuente’s lab uses Codex and ChatGPT to search living and extinct genomes for antimicrobial candidates to fight drug-resistant infections.
Polimill builds Japan's next-generation public AI infrastructure
Polimill uses OpenAI GPT models and Codex to help municipalities search and use administrative knowledge while accelerating development.