did anyone try any of these so called frameworks? do they deliver or just riding the hype-wagon?
matt3D · 2h ago
Pretty surprised BMAD-method wasn't mentioned.
For my money it's by far the best Claude Code compliment.
3uler · 38m ago
The BMAD system seems similar to the AgentOS mentioned in the post.
This way of context engineering has definitely been the way to go for me, although I’ve just implemented it myself… using Claude to help generate commands and agents and tweaking them to my liking, lately been using json as well as markdown to share context between steps.
CGamesPlay · 42m ago
What is this? Just a system prompt? What makes it so good for you?
It’s basically a set of commands and agents and a way to structure context.
MarcelOlsz · 2h ago
Same with taskmaster, also not there.
3uler · 35m ago
I never found taskmaster that useful, something about how it forced you to work didn’t click with me…
troupo · 54m ago
> a set of rules, roles, and workflows that make its output predictable and valuable.
Let me stop you right there. Are you seriously talking about predictable when talking about a non-deterministic black box over which you have no control?
andsoitis · 49m ago
> Are you seriously talking about predictable when talking about a non-deterministic
Predictability and determinism are related but different concepts.
A system can be predictable in a probabilistic sense, rather than an exact, deterministic one. This means that while you may not be able to predict the precise outcome of a single event, you can accurately forecast the overall behavior of the system and the likelihood of different outcomes.
Similarly, a system can be deterministic yet unpredictable due to practical limitations like sensitivity to initial conditions (chaos theory), lack of information, or the inability to compute predictions in time.
troupo · 3m ago
From the discussion in the link: "Predictability means that you can figure out what will happen next based on what happened previously."
Having used nearly all of the methods in the original article, I can predict that the output of the model is nearly indistinguishable from a coin toss for many, many, many rather obvious reasons.
sublinear · 12m ago
The topic of chaos is underrated when people talk about deterministic systems, but I think it's at least (usually?/always?) a tractable problem to draw up a fractal or something and find the non-chaotic regions of a solution space. You have nice variables to work with when you draw up a model of the problem.
Maybe someone can elaborate better, but it seems there is no such luck trying to map probability onto problems the way "AI" is being used today. It's not just a matter of feeding it more data, but finding what data you haven't fed it or in some cases knowing you can't feed it some data because we have no known way to represent what is obvious to humans.
raincole · 14m ago
Yes, and there is absolutely nothing wrong with that. Living creatures are mostly black boxes. It doesn't mean we don't aim for making medicine with predictable effects (and side effects).
troupo · 1m ago
Medicine that can either kill you, cure you, or have no effect at any given time for the same disease is quite unlikely to even pass certification.
Do you know why?
dist-epoch · 12m ago
Non-deterministic does not mean not-predictable.
Quantum mechanics is non-deterministic, yet you can predict the motion of objects with exquisite precision.
All these "non-deterministic boxes" will give the same answer to the question "What is the capital of France"
sublinear · 3m ago
Yes, but the "exquisite precision" comes from the deterministic parts of physics.
For my money it's by far the best Claude Code compliment.
This way of context engineering has definitely been the way to go for me, although I’ve just implemented it myself… using Claude to help generate commands and agents and tweaking them to my liking, lately been using json as well as markdown to share context between steps.
https://github.com/bmad-code-org/BMAD-METHOD
Let me stop you right there. Are you seriously talking about predictable when talking about a non-deterministic black box over which you have no control?
Predictability and determinism are related but different concepts.
A system can be predictable in a probabilistic sense, rather than an exact, deterministic one. This means that while you may not be able to predict the precise outcome of a single event, you can accurately forecast the overall behavior of the system and the likelihood of different outcomes.
https://philosophy.stackexchange.com/questions/96145/determi...
Similarly, a system can be deterministic yet unpredictable due to practical limitations like sensitivity to initial conditions (chaos theory), lack of information, or the inability to compute predictions in time.
Having used nearly all of the methods in the original article, I can predict that the output of the model is nearly indistinguishable from a coin toss for many, many, many rather obvious reasons.
Maybe someone can elaborate better, but it seems there is no such luck trying to map probability onto problems the way "AI" is being used today. It's not just a matter of feeding it more data, but finding what data you haven't fed it or in some cases knowing you can't feed it some data because we have no known way to represent what is obvious to humans.
Do you know why?
Quantum mechanics is non-deterministic, yet you can predict the motion of objects with exquisite precision.
All these "non-deterministic boxes" will give the same answer to the question "What is the capital of France"