pretty happy with my current coding setup: – gpt-5.2-codex
– xhigh for planning
– medium for implementation
– background terminal (parallel jobs)
– /fork conversations to explore multiple variations of a problem
– codex web via slack for quick async validation/ simple changes
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@reach_vb
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Practical AI-Driven Coding Workflow and Tooling Setup
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Using AI to fetch and manage documentation
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thanks for the details! for docs my go-to is to just ask codex to fetch the latest instead of providing it myself
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OpenAI’s reliance on Codex for internal tooling and rapid development
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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
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Technical insights on Codex model learning and memory
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interesting from my experience (and except very few exceptions) codex just goes and learns whatever it forgets/ needs after compaction
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Exploring alternatives to Chrome MCP with Codex
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is there anything more than using the chrome MCP w/ codex? what could be better?
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Workflow for using AI coding agents to solve problems
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how I treat any problem thrown at me w/ codex:
> find a verifiable loop
> provide minimal context
> let it rip
> if it drifts, update agent md -
Codex AI coding assistant now available for JetBrains IDEs
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This has been an ask for a very long time – Developers can now use Codex within @jetbrains IDE! You can now use Codex with your ChatGPT plan in IntelliJ, PyCharm, WebStorm, and Rider, powered by GPT-5.2 Codex – Enjoy!
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AI-powered code review tool performance analysis
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/review in codex is pretty powerful – it'll often go beyond just the diff and look for second order effects throughout the codebase
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Steering AI model conversation mid-turn
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It's experimental but you can use steer conversation to influence the model mid-turn
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Gap Analysis Framework: Identifying and Solving Project Issues
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Codex for finding the gaps and addressing them – I’ve been trying this on few internal projects: “What could be better in X, list issues with P0/1/2 and follow that up with proposed solutions for them”