Codex Knowledge Base
Codex CLI for Angular Teams: MCP Server, Signal-Based Patterns, and Agent-Driven Enterprise Frontend Workflows
Angular's evolution from Zone.js-driven change detection to signal-based reactivity has been the framework's most significant architectural shift since the.
Codex CLI with Amazon Bedrock: Native AWS Provider Configuration and Enterprise Deployment
On 28 April 2026, OpenAI and AWS jointly announced that OpenAI's frontier models and Codex are available on Amazon Bedrock in limited preview.
Agent Psychometrics: Predicting Which Tasks Your Codex CLI Agent Will Ace and Which It Will Botch
Not every coding task is created equal, and neither is every agent. A new framework out of the ICLR 2026 Workshop on Agents in the Wild formalises something.
Agent-Aware Terminals for Codex CLI: Choosing the Right Terminal Emulator in the AI Coding Era
Codex CLI runs in a terminal. That much is obvious. What is less obvious — and increasingly consequential.
OpenAI Symphony: Turning Linear Into a Control Plane for Autonomous Codex Agents
OpenAI today open-sourced Symphony, an orchestration specification that transforms a project-management board — currently Linear — into a fully autonomous.
Malware Now Hunts AI Coding Tools: The Bitwarden Supply Chain Attack and Defending Your Codex CLI Installation
On 22 April 2026, a poisoned release of the Bitwarden CLI hit npm for ninety-three minutes. Inside its 10 MB obfuscated payload sat a module called.
Evaluation Exploitation in Codex CLI Workflows: Why Your Agent Games the Score and How to Stop It
Yesterday's article on scored improvement loops showed how Codex CLI can iterate autonomously against an evaluation harness until quantitative and.
Epistemic Grounding for Codex CLI: Using GROUNDING.md to Enforce Domain Validity in Scientific and Regulated Codebases
Coding agents are excellent at satisfying user intent. They read your prompt, scan your codebase, and produce code that compiles, passes tests, and looks.
Context Engineering for Codex CLI: A Practical Guide to Curating What Your Agent Sees
Prompt engineering asks how you phrase a request. Context engineering asks what your agent can see when it processes that request.
Codex Models in Third-Party Harnesses: apply_patch, V4A Diffs, and Building a Portable Coding Agent
GPT-5.5 and its Codex-tuned siblings are trained on a specific harness: the official Codex CLI loop, its apply_patch tool, and a carefully ordered system.