Insight
Shah: Under-engineering is preferable because tech debt interest is quantifiable
“I would rather under-engineer something than over-engineer it if I were gonna err on the side of something. And here's the reason is that when you under-engineer it yes, you take on tech debt but the interest rate is relatively known and payoff is very, very p…”
Prediction Not checkable as stated
Shah: AI codebase refactoring will make under-engineering even more optimal
“Because we're gonna, not that long from now, we're gonna have, you know, large code bases be able to exist you know, as context for a code generation or a code refactoring model. So, I think it's going to make it make the case for under engineering even strong…”
Prediction Not checkable as stated
Shah: MCP or an equivalent standard will be AI's next major unlock
“So I think MCP or something like it is going to be the next major unlock because it allows systems that don't know about each other, don't need to just decoupling of Like Sentry and whatever tools someone else was building.”
Prediction Not checkable as stated
Shah: Hybrid workplace teams of humans and AI agents are inevitable
“So I think it is, I will go so far as to say it's inevitable that we're going to have hybrid teams someday. And what I mean by hybrid teams. So back in the day, hybrid teams were, oh, well, you have some full-time employees and some contractors. Then it was li…”
Opinion
Shah: The AI industry does not need a new language to replace Python
“He was talking about like, oh, we need a different language than Python or whatever that is like built for built for AI and built. It's like, No, Brett, I don't think we do actually. It's just fine. It deals with just fine, just expressive enough. And it's nic…”
Prediction Not checkable as stated
Shah: Long-term economic value of software engineers will increase due to AI
“I think so I'm actually bullish on engineers in terms of their kind of long-term economic value.
Not despite all the movements in Cogen and all the things that we're, you know, already seeing, but because of it because what's going to happen as a result of…”
Prediction Not checkable as stated
Shah: Agent.com will end up being more valuable than $15M Chat.com
“It's, yeah, it's gonna be, I think, end up being bigger than chat.com, which was 15.”
Opinion
Shah: Graph representations may outperform standard vector chunking in RAG
“The reality is something gets lost in the chunking process in the, okay, well, those tend to, you know, like you don't really get the whole picture, so to speak, and maybe not even the right set of dimensions on the kind of broader picture. And it makes intuit…”
Insight
Shah: Zero-cost AI feature generation risks creating bloated, complicated software
“One of the risks that we have is that because adding a feature like a save or whatever the feature might be to a product, as that price tends towards zero, are we going to be less discriminated about what features we add as a result of making more product Prod…”
Opinion
Shah: MCP provides distinct value above OpenAPI for LLM workflows
“I do think MCP as a pro adds value above open API. It's yeah, just because it solves this particular thing. And if we had come to the world, which we have, like, it's like, Hey, we already have open API. It's like, if that were good enough for the universe wou…”
Opinion
Shah: Meta and LinkedIn keep social and professional graphs aggressively closed
“Right now our information, all of us nodes are in the social graph at Meta or the professional graph at LinkedIn, both of which are actually relatively closed and actually very annoying ways. Like very, very closed, right? Especially LinkedIn.”
Insight
Shah: Deterministic steps beat LLM randomness when workflow steps are known
“Thing number two is if you can get, if you know in your head what the actual steps are to accomplish whatever goal, why would you leave that to chance? There's no upside. There's literally no upside. Just tell me like, what steps do you need executed?”
Assertion Not checkable as stated
Shah: Model routing achieves multi-order-of-magnitude cost cuts without quality loss
“We can get a dramatic multiple words of magnitude reduction by going to a lower model with literally like no change in the quality of the output.”
Opinion
Shah: The AI industry is over-indexing on outcome-based pricing
“I think the reason we're over indexed though, is that there are not that many use cases that have those two dimensions to them that are objectively measurable and that there's a known economic value that's constant, right?”
Prediction Not checkable as stated
Shah: Web3 will make a comeback based on fundamental principles
“I think web three in the way that it was meant to be done. Is going to make a comeback because fundamental principles of that makes sense.”
Disclosure
Shah: I refuse all phone calls and 1-on-1 meetings to stay async
“Like, at all. I mean, I'll get on Zooms with Teams, but no one-on-one meetings, no one-on-one it just doesn't scale. So I've moved as much as possible to an async world.”
Insight
Shah: Traditional software UIs are unintuitive compared to natural language
“As software developers, myself included, we've always said, oh, we build intuitive, easy to use applications. And it's not intuitive at all, right? Because what we're doing is taking the mental model that's in our head of what we're trying to accomplish with s…”
Insight
Shah: AI's next leap is autonomous multi-step action, not chat
“If we want to do something even more meaningful, it felt like the next kind of advancement is not this kind of, I'm chatting with some software in a kind of a synchronous back and forth model is that software is going to do things for me. In kind of multi-step…”
Insight
Shah: Early frameworks like AutoGPT assumed model reasoning that didn't exist
“So if you look at the first Implementation of like agent frameworks. You look at you know, baby AJI and auto GBT. I think it was an auto gen. That's the Microsoft one. They were way ahead of their time because they assumed this level of reasoning and execution…”
Prediction Not checkable as stated
Shah: 2026 will be the year of multi-agent networks
“Lots of people have said it and you've hopefully combined some of those clips of really smart people saying this is the year of agents. And I completely agree. It is the year of agents, but then shortly after that is going to be the year of multi-agent systems…”
Insight
Shah: Graph Representations Offer Observability That Vector Embeddings Lack
“They're much more discoverable. You can kind of see it. There's observability to it versus kind of embeddings, which you can't really do much with as a human. You know, once they're in there, you can't pull stuff back out”
Insight
Shah: Systems thinking and abstractions retain timeless engineering value
“I think there's going to be timeless value in systems thinking and abstractions and what that means and whether functions manifested as math, which he's going to get exposed to regardless, or there are some core primitives to the universe. I think that the mor…”
Assertion Not checkable as stated
Shah: Agent.ai has 1.3M users and 1,000 published agents
“So now, Agent.ai has 1.3 million users. 3000 people have actually, you know, built some variation of an agent, sometimes, sometimes just for their own personal productivity, about a thousand of which have been published.”
Prediction Not checkable as stated
Shah: Agent interaction models will shift toward asynchronous queued workflows
“So we're used to the chat bot back and forth. Fine. I get that. I think we're gonna move to a blend of some of those things are gonna be synchronous as they are now, but some are gonna be async. It's just gonna put it in a queue”
