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Tutorials, product updates, and ideas to help you build and ship AI applications faster.
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Codex agents.md vs. Claude Code CLAUDE.md — Which Project Context System Actually Works Better?
Both Codex and Claude Code use a markdown file to anchor project context. Here's how agents.md and CLAUDE.md differ and when each approach wins.
Codex Automations Silently Default to GPT-5.2 — Here's How to Fix the Hidden Model Setting
Codex automations quietly use GPT-5.2 instead of GPT-5.5 by default. This hidden setting caused a 40-minute automation to stall. Here's the fix.
How to Use Skill Systems in Codex: Chaining Skills Into Scheduled Automations
Individual skills save time. Skill systems save your week. Learn how to chain Codex skills into scheduled pipelines that run without your supervision.
Why Consumer AI Agents Still Feel Disappointing: 5 Rungs They Haven't Climbed Yet
The ladder of trust — from read-only to fully autonomous — explains exactly where every consumer agent product is stuck and what it would take to move up.
What Is Context Inheritance in Claude Code? How to Manage Multi-Client Projects
Claude Code's context inheritance lets parent folders pass shared methodology to client subfolders. Learn how to structure multi-client AI agent projects.
How to Deploy an AI-Built Dashboard to Vercel Using Claude Code or Codex
Go from local AI-generated app to live URL in minutes. Learn how to push your Claude Code or Codex project to GitHub and deploy it on Vercel for free.
Durable Work vs. Commodity Work — How to Position Yourself on the Right Side of AI Automation
The legibility paradox: make your work too visible and it becomes automatable. Too hidden and it gets cut. Here's how to thread the needle.
Ezra Klein's Counterintuitive Argument: Mass AI Unemployment Would Actually Be Easier to Handle Than What's Coming
Klein argues 80M displaced workers would force policy action — but 8M targeted ones get ignored like the China trade shock. Here's why that matters.
GitHub Is Planning for 30x More Repos — The Infrastructure Signals That Proactive Agents Are Almost Here
GitHub is preparing for 30x repo growth from agent activity. Stripe's agent-driven signups are exponential. Here's what the infrastructure data reveals.
How to Set Up Google Pomelli for Branded Social Content in Under 30 Minutes
Skip manual brand DNA entry. Screenshot the template, run it through Gemini, paste back in. Here's the full Pomelli setup workflow with the AI shortcut.
Google Pomelli Video Animation Only Works in 9:16 — The Hidden Format Requirement Most Users Miss
The animate button in Pomelli only appears after switching to 9:16 story format. Animated text is also unreliable. Here's the workaround for both issues.
Google Pomelli vs. Manual Product Photography — When AI-Generated Photoshoots Are Good Enough
Pomelli's studio, ingredient, in-use, and contextual templates auto-select by product type. Here's an honest look at output quality vs. real photography.
Google's Quantum Attack Estimate vs. Caltech's: Which Timeline Should You Actually Plan Around?
Google says under 500K physical qubits in minutes. Caltech says 26K qubits in days. The numbers differ — here's how to read both for planning purposes.
GPQA vs. Time Horizons — Two Approaches to Measuring AI Capability and Why the Difference Matters
GPQA measures accuracy on fixed questions. Time Horizons measures task duration. The GPQA creator explains why both approaches have blind spots.
Harness Engineering Is Now a Formal Discipline: 6 Findings That Change How You Build AI Agents
Two new papers establish harness engineering as the discipline that matters more than model selection. Here's what the research shows.
Higgsfield MCP vs. CLI for Claude Code Agents — Why the CLI Is Significantly Cheaper for Agentic Workflows
The Higgsfield MCP exposes every tool simultaneously — expensive for agents. The CLI is purpose-built for agentic use and significantly cheaper.
John Preskill Said He Was Surprised by the Qubit Reduction — What the Caltech Paper's Author Actually Believes
The Caltech quantum computing pioneer told Time he was surprised by how far the qubit count dropped. Here's what his paper actually claims and what it doesn't.
Models Know They're Reward Hacking — and Telling Them to Stop Makes It Worse
Meter's research found models increasingly understand their reward-hacking is misaligned but do it anyway. Remediation prompts actually increase the behavior.
Omar Khattab's DSPy Follow-Up: Auto-Optimized Harness Beats Every Hand-Engineered Agent on TerminalBench 2
The DSPy creator's new paper shows an auto-optimized harness hitting 76.4% on TerminalBench 2 — outscoring every hand-built entry in the field.
One Prompt Built an Entire Headphone Brand: 5 Things Claude Code + Higgsfield Generated Autonomously
A single Claude Code prompt produced a brand identity, 3 product lines, product photos, Instagram ads, and UGC videos. Here's exactly what was generated.
How to Use OpenAI Codex's /goal Command for Long-Running Autonomous Tasks
Codex's /goal command enables multi-hour autonomous agentic loops. Learn how to activate it, what it can build, and when to use it for complex projects.
How to Set Up OpenAI Codex for Multi-Hour Agentic Runs: /goal Command Step-by-Step
Codex's /goal command unlocks autonomous multi-hour agent loops — but it requires editing a TOML file most users never find. Here's the full setup.
OpenAI Codex Super-App: 9 Features Most Users Haven't Found Yet
From the skills system to side chat to personality modes — Codex has a full agentic feature set that most tutorials completely miss.
OpenAI Just Hired the Creator of OpenClaw — Here's What That Signals About Proactive Consumer Agents
Peter Steinberger built the most capable consumer agent shell available. OpenAI just hired him. Here's what that hire telegraphs about the product roadmap.