#Codex Bridge
169 related articles
·2 min
CrewCode: An Open-Source Desktop Tool for Parallel Scheduling of Multiple AI Coding Agents
CrewCode is a free open-source Electron desktop app that runs multiple AI coding agents in parallel via Git Worktree isolation, supporting Claude Code, Codex, and more with crew orchestration and context handoff.
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·3 min
Atlaso: Giving All Your AI Tools One Shared Memory, Ending Repetitive Explanations
Atlaso is a cross-AI memory layer that lets Claude Code, Cursor, Codex, and ChatGPT share one unified context, eliminating repetitive explanations for developers.
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·3 min
Harness Engineering: The Key Technique for Unlocking Hidden AI Agent Capabilities
Explore how harness engineering dramatically improves AI Agent performance. From the Codex case study, learn how tool orchestration, context management, and execution environments become the core competitive battleground.
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·3 min
Dex: Turn Your AI Coding Assistant into an Analytics Engineer with One Command
Dex by Exmergo adds analytics engineering skills to Claude Code, Cursor & other AI assistants via one command, with read-only schema mapping, cost guardrails, and drift detection.
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·2 min
Foreguard: A Free Family Care Planning AI Tool Built with ChatGPT
Foreguard is a free family care planning tool built with ChatGPT and Codex, helping families identify public benefit eligibility and plan long-term care insurance at minimal cost.
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·2 min
Foreguard: A Free Family Care Planning AI Tool Built with ChatGPT
Foreguard is a free family care planning tool built with ChatGPT and Codex, helping families identify public benefit eligibility and plan long-term care insurance at minimal cost.
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·2 min
If AI Writes All the Code, What's Left for Programmers?
AI coding tools are spreading fast—so where does programmer value lie? This article analyzes three key role shifts: from writer to reviewer, implementer to designer, and lone wolf to coordinator.
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·4 min
Harness Engineering: The Core Infrastructure for Taking AI Agents from Demo to Production
Deep dive into Harness Engineering: why AI Agents need memory management, durable execution, guardrails & approvals to go from demo to production.
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·4 min
Harness Engineering: The Core Infrastructure for Taking AI Agents from Demo to Production
Deep dive into Harness Engineering: why AI Agents need memory management, durable execution, guardrails & approvals to reach production. Based on Scott Moss's workshop.
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·3 min
OpenAI Academy's European Tour: How SMEs Can Break Through with AI
OpenAI Academy visits six European nations with its SME AI Accelerator and multilingual workshops, helping small businesses overcome AI adoption barriers through real-world training and hands-on use.
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·4 min
GPT-5.6 Value Maxing Practical Guide: From Token Stacking to Output Optimization Methodology
Deep dive into OpenAI GPT-5.6 Value Maxing strategies covering Sol/Terra/Luna model selection, KV cache optimization, Prompt compression, and programmatic tool calling to help developers achieve more output with fewer Tokens.
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·2 min
Codex Hands-On Tutorial: Generating MG Animation with an AI Agent in One Sentence
Get started with the Codex AI Agent from scratch: project creation, plugin config (Computer Use/Remotion), Plan Mode vs Goal Mode, and a hands-on demo of generating an MG animation in one sentence.
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sqlite-utils 4.1 Released: The --code …
·7 min
sqlite-utils 4.1 Released: The --code Option, Type Overrides, and AI-Assisted Development in Practice
sqlite-utils 4.1 brings practical new features: the --code option for generating rows with Python, field type overrides fixing leading-zero ZIP codes, STRICT table mode switching, drop-index, and more. A deep dive into each design and the AI-assisted dev workflow.
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sqlite-utils 4.1 Released: The --code …
·7 min
sqlite-utils 4.1 Released: The --code Option, Type Overrides, and AI-Assisted Development in Practice
sqlite-utils 4.1 brings practical new features: the --code option for generating rows via Python, type overrides to solve ZIP-code leading-zero loss, STRICT table mode switching, drop-index, and more. A deep dive into the design and AI-assisted dev workflow.
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ChatGPT Work Deep Dive: The Cloud-Loca…
·3 min
ChatGPT Work Deep Dive: The Cloud-Local Split and What It Means for Users
ChatGPT Work runs in the cloud on web/mobile but accesses local files on desktop — and they don't sync. A deep dive into the split design, UX tradeoffs, and broader AI agent challenges.
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·4 min
Beyond Vibe Coding: A Complete Guide to Enterprise-Grade AI Engineering
Hit the Vibe Coding ceiling? This guide covers the three-stage AI coding progression path, Claude Code vs. Codex, SuperPower SDD, and how to go from vibe coding to enterprise-grade AI engineering.
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·3 min
Codex Beginner's Guide: A Step-by-Step AI Work Assistant Tutorial for Non-Coders
Complete beginner's guide to OpenAI Codex desktop client: installation, setup, project management, and plugins — no coding required. Let AI actually do work for you.
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·3 min
Vibe Coding for Beginners: Build Your First Project with AI from Scratch
What is Vibe Coding? Learn this new AI programming paradigm from scratch — no CS degree needed. Use Claude Code, Cursor, and more to build real projects by describing your ideas.
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·7 min
The Complete Guide to LLM Application Engineer Interviews: Six High-Frequency Topics in the Agent Domain
A focused guide to the core interview topics for LLM application engineers, covering agent architecture, Multi-Agent, Langfuse evaluation & tracing, security, and RAG optimization.
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·7 min
The Complete Guide to LLM Application Engineer Interviews: Six High-Frequency Agent Topics
A focused guide to core LLM application engineer interview topics, covering agent architecture, Multi-Agent, Langfuse evaluation, security, and RAG optimization.
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