do you have an example of this? If i can't get an agent to do something in a couple hours i do it myself.
Here’s an example of improvement when trying to solve the label placement problem (NP-hard):
It’s also an example of something that I could not (and would not bother trying to) code up a solution / heuristic for.
I tried holding Opus's hand over a week trying to get it done with a ton of in-depth planning and manual course-correction, but it never got it to a state where it was "done" (kept struggling to differentiate between game content specific to that game versus game systems we'd want to reuse, and how to cleanly separate systems vs content when extracting).
Fable needed a little bit of hand holding but got it done in less than a day.
https://github.com/ByteTerrace/Puck
It has required constant hand holding, and there was the outage to deal with, but I can't argue with the end results. A fully deterministic recursive engine within an engine framework that includes a rendering VM, emulators, custom ROMs, and an in-game editor? Insane. Sure, it's nowhere near primetime but this kind of thing was unimaginable just a year ago.
I created a skill that’s focused on getting PRs merge-ready, and now my attention is fully back where it should be, on deciding what changes will make the product better.
Our entire stack is Apache 2.0 open source, including the agent docs, so if you wanna try sitting at a higher level of abstraction, install the skill in your repo or just clone our whole project and start adding features: https://good.vibes.diy/blog/beast-mode-skill-for-claude-code
Completely failed, but I knew it was possible because a competitor app does it.
Fable also failed, then added log lines (as did Opus, but Opus failed to do anything useful with them) and then reversed engineered the API, and made it work.
Interesting choice of words. Phrased so casually. It picked a low-tech idiom that fit the situation instead of giving some sterile technical answer. That kind of language and context awareness never happened for me with Opus, or gpt 5.5.
If you can’t design a solution and instead waste days and who knows how much money in tokens instead of just turning on your brain for a few minutes, you are in the wrong profession.
GPT-5.5 is better for:
- Strategic thinking
- Long-form writing, including essays and white papers
- Image creation
- Code generation
Fable is better for:
- Using tools
- Testing code
- Working in live environments
- Making changes to existing software
- Creating polished PowerPoint and Word documents
Fable’s tool access is its biggest advantage. It's hard to describe but Fable ability to access sandbox environments with way more tooling can quickly become a superpower in now workflows.