Everything Animesh Koratana said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Koratana: Enterprise AI agents failed to deliver on expectations in 2025
“And the last year, right, 20, 25 was supposed to be the year of agents, especially the year of agents in the enterprise. But it never really delivered.”
Koratana: SRE, QA, and support engineering functions will merge over time
“I actually, I genuinely think that as we start centralizing this context, all of these different functions that we were talking about earlier, right? Starting from SRE on like the most, you know, reactive, you know, infrastructure heavy side all the way down t…”
Koratana: Current coding agents are not optimized for remediation
“Today I don't think the coding agents are actually optimized well for that at all.”
Koratana: AI models enable autonomous agents to run entire workflows
“I think the really interesting inflection we've seen over the last three or four months is that the models have gotten good enough that agents can actually run the entire workflow, right? They're not additive to individuals. They are they're the ones that own …”
Koratana: GitHub Copilot originally began building on a GPT-2 Codex variant
“In 2019, 20, 20 time GPT-II had just been trained. And that was, I think, one of the first language models that came together and was coherent over longer horizons. And there was a variant of GPT-II that that was called Codex. And this is kind of the same name…”
Koratana: Understanding software is the bottleneck to production engineering and support
“How do you understand software and how do you model it? Because understanding often tends to be the bottleneck to being able to, You know, inflect change and to be able to do all the support and production engineering.”
Koratana: Autonomous Agents Must Model Organizational Decision Dynamics to Learn Effectively
“The way that we actually have to architect agentic systems that can build reinforcing loops to learn from the work that they're doing, have to also capture the decision dynamics within any organization and then ultimately encode them back.”
Koratana: Traditional SaaS records final outputs but loses decision context
“The key insight behind context graphs was that the last decade of SaaS basically has been built around this idea of a system of record, right? I think Salesforce is a good example, right? Probably the most, you know, central system of record, probably the most…”
Koratana: Production Software Reality Lives Across Fragmented Systems, Not Code
“The reality of how production software works lives somewhere in between, you know, your code base, your ticketing system, your telemetry systems, the complaints of your customers the incident response pads, like all of these, it's messy, right?”
Koratana: Context graphs form a compounding moat for AI agent startups
“If you model context graphs really well, agents can actually experience something similar and that actually ends up becoming a moat, right? And I think that's also really important for how AI agent companies, right, end up differentiating over time.”
Koratana: Context switching across functions delays incident resolution from hours to days
“And because there's so much context switching that happens along the way across these nine different functions, a ticket takes four weeks to resolve, or an incident takes, you know, three days to resolve instead of two hours, right?”
Koratana: Engineering productivity requires faster coding and fewer operational distractions
“There's two ways to make engineering teams more productive. You let them do more in the amount of time that they spend coding, or you give them more time to spend coding. And the answer is you have to do both.”
Koratana: Cursor and AI tools increase development pace 5x to 10x
“As cloud code comes in, as cursor comes in, like we're all feeling this already at all of our companies. Just the pace of development is, you know, five X, 10 X.”
Koratana: Faster software development requires automated safety like airbags
“You can only build you can only build faster cars when you build airbags, right? Or seat belts. I think there's a version of that that basically needs to happen here too, right? If we keep thinking about, you know, every single support ticket needs to be dealt…”
Koratana: Enterprise SRE teams are underwater from software development pace
“I don't know if I've met an enterprise SRE team or an enterprise support team that says, oh yeah, actually we're well sapped, right? Like they're just, everybody's underwater. And they're becoming more and more underwater because like the, again, the pace of d…”
Koratana: No AI Can Run Fully Autonomously Yet, but It Is Close
“We're not yet at a place where, you know, you can turn off the lights and just have player zero go nuts. To be honest, I don't think any AI is there yet. But it's pretty damn close.”
Koratana: Software Remediation Requires Modeling Human Escalation Paths
“When a support ticket comes in, right, the remediation path isn't just about bringing code and tickets together. It's about also navigating through multiple different people in the organization that, you know, gate the remediation or gate the escalation path.”