Why did Codex catch an issue that Fable missed? Does that mean Codex has a capability Fable lacks, and should I add a Codex review pass to the workflow?
Codex's catch came from a question I had not explicitly asked:
Why did Codex catch an issue that Fable missed? Does that mean Codex has a capability Fable lacks, and should I add a Codex review pass to the workflow?
Codex's catch came from a question I had not explicitly asked:
When the AI can't find a working solution it tends to thrash: trying variation after variation of a fix without converging. The operator wants a standing guideline that makes the AI recognize this pattern in its own responses, flag it, allow itself a bounded number of further attempts, and — if still stuck — stop and prompt the operator to investigate and possibly rethink the design, instead of burning time in a try-something-else loop.
How to answer when the operator asks to see, explain, review, or understand changes you made. This complements "Code reviews are specific" in AGENTS.md, which governs reviews of code handed to you; this doc governs walkthroughs of your own work.
When the operator asks anything like:
| name | tone-plain-no-bragging | ||||||
|---|---|---|---|---|---|---|---|
| description | How the user wants responses written — plain, humble, no self-congratulation | ||||||
| metadata |
|
The user dislikes self-congratulatory / bragging tone (e.g., "strictly better," comparison tables showing how clever a solution is, framing my own answers as smart). Be plain and humble, especially after mistakes.
| --- | |
| name: tone-plain-no-bragging | |
| description: "How the user wants responses written — plain, humble, no self-congratulation" | |
| metadata: | |
| node_type: memory | |
| type: feedback | |
| originSessionId: c588c490-68e8-4940-afda-a6a57c8e6a3e | |
| --- | |
| The user dislikes self-congratulatory / bragging tone (e.g., "strictly better," comparison tables showing how clever a solution is, framing my own answers as smart). Be plain and humble, especially after mistakes. |
Here’s a formatted Markdown version you can paste into a GitHub Gist:
You use Opus everywhere, but the two products are not metering the same work the same way.
Cursor exhausts faster for structural reasons, not because Opus behaves differently.
Same Opus model. Different meter. Cursor bills like prepaid API usage. Claude Code bills like a subscription with rolling resets.
| Here’s a formatted Markdown version you can paste into a GitHub Gist: | |
| # Why Cursor Runs Out Faster Than Claude Code on the Same Opus | |
| You use **Opus everywhere**, but the two products are **not metering the same work the same way**. | |
| Cursor exhausts faster for structural reasons, not because Opus behaves differently. | |
| > Same Opus model. Different meter. | |
| > Cursor bills like prepaid API usage. Claude Code bills like a subscription with rolling resets. |
Your options represent different approaches to rendering and server-side involvement in a web application. Here's a breakdown of each approach:
| #!/bin/sh | |
| # Define group prefixes | |
| groups="better-rules-com better-rules-net gmail-to-icloud-net coolify" | |
| group_totals="0 0 0 0" | |
| unassigned_total=0 | |
| # Create temporary files | |
| stats_file=$(mktemp) | |
| temp_file=$(mktemp) |
| #!/bin/bash | |
| # Capture the stats for all containers | |
| docker stats --no-stream --format "{{.Container}} {{.Name}} {{.CPUPerc}} {{.MemUsage}}" > stats.txt | |
| # Temporary file to store container info for sorting | |
| temp_file=$(mktemp) | |
| # Helper function to format running time | |
| format_time() { |