@thsottiaux Codex quota kept dropping with no visible task running. No CLI, code review 0 PRs / 0 issues. It stopped only after fully quitting Codex Desktop. Happened last cycle too. Can someone check server-side logs?
@mx_jlu@thsottiaux Similar issue here after reset. My Codex shared quota kept dropping while idle — no task, no CLI, code review 0. It stopped only after quitting Codex Desktop. Feels like reset/session accounting is off today.
@thsottiaux Codex quota kept dropping with no visible task running. No CLI, code review 0 PRs / 0 issues. It stopped only after fully quitting Codex Desktop. Happened last cycle too. Can someone check server-side logs?
If Codex Desktop can consume usage just by being open, users need to know that clearly. If it’s a bug, OpenAI should restore the lost usage or compensate the lost subscription time.
@OpenAI@OpenAIDevs
I’m paying $100/month for ChatGPT/Codex, but my Codex shared agentic usage kept dropping even when I wasn’t actively using it.
No visible Codex task running.
No Codex CLI used.
Code review showed 0 PRs reviewed / 0 issues. The usage only stopped dropping after I fully quit Codex Desktop.
This already happened in the previous usage cycle, and after today’s reset it happened again.
AnAnyone else suddenly hit Codex weekly limit on ChatGPT Pro? $100 Pro plan, personal account. Last used it ~14 hours ago for small UI changes. Now weekly usage is 0%, while 5-hour limit and Spark weekly are still 100% Bug, credits migration, or new limit?
@OpenAI@OpenAIDevs
I just published an open-source template: Designer-Led Agent Starter.
It is for product designers who are not engineers, but want to use AI coding agents to build an MVP.
The template helps you turn messy product notes into product truth, rules, flows, PM questions, capability maps, and acceptance criteria before asking the agent to write code.
Do not start by asking AI to build the app.
Start by making it understand the product.
1/ The era of "Zero Marginal Cost" code is here, and it's rendering the old rules of software engineering obsolete.
In the age of expensive human labor, "Over-engineering" was a sin. Today, it is the ultimate strategy for robustness.
2/ From Minimalism to "Saturated Logic."
We used to build "lean" because we had to save on human hours. Now, code generation is nearly free. Don't build just enough; build Saturated. Redundancy isn't bloat—it’s structural margin.
3/ The Moat is in the Engineering Thickness.
In an AI-driven world, the barrier to entry isn't the code itself, but the depth of its encapsulation. Building digital systems with massive logic density creates a moat that thin, "minimalist" copies can't survive.
4/ Brute-Force Logic Validation.
If generating 30,000 lines of test code costs next to nothing, why stop at 80% coverage? Burn the credits. Saturate the system with defensive logic to eliminate the 0.01% black swan events. In the AI era, Robustness > Elegance.
5/ Conclusion:
As AI drives production costs to zero, "Over-engineering" becomes the new standard for quality. Stop building lean features. Start building high-density digital fortresses.
#AI #SoftwareEngineering #TechTrends #BuildInPublic
Now running ops for a photographer who built an AI portrait tool. Template-driven, no prompts, vintage studio results in under a minute. The people who understand light best are the ones who should be training the machines.