Replying to @bugarela @quint_lang
Any news on when Quint Studio might land?
Replying to @DanielMiessler @mattpocockuk
LLM's don't deal with ambiguity well the chain you described moves from more to less abstract. A sufficiently detailed spec is code
@bot tell my chief about this, he's not aware of it
Replying to @badlogicgames @tanvirraj
You're the perfect antidote to @Steve_Yegge 😂
Replying to @unclebobmartin
How do you find the cursor cloud agents? For me they're like blackholes. Really want to transition to them but can't get anything done with them
Replying to @mattpocockuk
What's your view on the future of factories? Do we all have our own instantiation of one made of composable units much like DevOps today? Or do we coalesce around patterns and practices that works and buy factories off the shelf?
Replying to @thorstenball
I agree with almost all of this except for "Stop worrying about accumulating slop". If I provide the why the what ends up looking like 10's or 100's of .py files in the root of the project with very little cohesion. What are you seeing that's different?
Replying to @JackEllis
I found cursor cloud agents very slow unproductuve and expensive and i have a 300x plan. What am i missing?
Replying to @milesdeutscher @bot
@bot see if any of these uses cases are relevant to us
Replying to @poteto
Love this! I see pstack already maps model actions to real code, tests with deliberate breakage, and uses statecharts for human review. The gap I’m curious about is completeness: how do you catch a requirement the model missed, even when TLC passes? Any ideas beyond review?
What If We’re Building AGI Backwards? simon336766.substack.com/p/w…
@bot summarise the key takeaways from this podcast and help me decide if we should make any changes to our development approach
