Codex Knowledge Base
Does Pi Outperform Codex CLI for Local Models? A Harness Comparison on the NVIDIA GB10
The system prompt tax is the cost you pay before your coding agent writes a single line of code.
Why Coding Agents Fail at Navigation (and How AGENTS.md File Maps Fix It)
Your coding agent can refactor a function, write tests, and call APIs — but ask it to find the right file in a monorepo.
What You Can Build with Codex CLI: 10 Real-World Setups from Simple to Advanced
Developers evaluating Codex CLI often ask the same question: what can I actually do with it? The answer depends on how deep you want to go. Codex CLI scales.
Using Codex CLI to Improve Published Algorithms: A Two-Stage Pipeline
A recent paper by Suwannik (April 2026) demonstrates something that should give every research-oriented developer pause.
The Harness Effect: Why the Same Model Scores 16 Points Higher in a Different Tool
Claude Opus running inside Cursor scores 93% on Terminal-Bench 2.0. The same model running inside Claude Code scores 77%. That is a 16-point differential.
The ExecPlan Pattern: Structuring 7-Hour Codex Sessions with PLANS.md
The single biggest determinant of whether a Codex session completes a complex task or drifts into incoherence is not the model — it is the planning.
OpenAI Codex CLI Official Documentation Guide (2026)
The official Codex CLI documentation has grown considerably since the tool's open-source debut in mid-2025.
Learned Capability Governance: What Aethelgard Means for Codex Permission Profiles
A summarisation task receives the same shell execution, subagent spawning, and credential access capabilities as a code deployment task. Sidik and Rokach.
From ChatGPT to Codex CLI: What Changes When Your AI Can Actually Run Code
If you already use ChatGPT to help you write code — pasting in error messages, asking for function implementations, copying suggestions back into your.
Formal Architecture Descriptors: Cutting Codex CLI Navigation Overhead by a Third
Your AGENTS.md file tells your coding agent what to do. But does it tell the agent where things are in a way that actually reduces navigational overhead? A.