Ash Gore

Recently @d_feldman asked why there are many more software dev evangelists sharing experiences online vs those in technical sales roles like solutions consulting/sales engineering. As someone who made that transition, I wanted to reflect on that career pivot in this thread

@Replit Agent encountered an error while running, we are investigating the issue.

Replit Agent is free tomorrow for everyone starting at 5am PST Show use what you can build in 24 hours And Replit is turning10! A trip down the memory lane on what got us here

@amasad "Agent encountered an error while running, we are investigating the issue." - There are no free lunches

Replit, turned 10 🎂 To celebrate we’re making it totally free for 24 hours starting at 5am PT. But our work—to make coding accessible for all—goes back to 2011. Watch the highlights from the journey: It’s been an honor to help millions learn & ship. Here is to the next 10!

@Airaasayss It’s not red, it’s grey

Read very carefully!!!!! And look Closely before before You answer......🤔🤔

@Airaasayss Grey

@Jennnyyyyyy 44

What will be the missing number? 🤔 Difficulty - Hardest 😉

Another week on the road meeting with a couple dozen IT and AI leaders from large enterprises across banking, media, retail, healthcare, consulting, tech, and sports, to discuss agents in the enterprise. Some quick takeaways: * Clear that we’re moving from chat era of AI to agents that use tools, process data, and start to execute real work in the enterprise. Complementing this, enterprises are often evolving from “let a thousand flowers bloom” approach to adoption to targeted automation efforts applied to specific areas of work and workflow. * Change management still will remain one of the biggest topics for enterprises. Most workflows aren’t setup to just drop agents directly in, and enterprises will need a ton of help to drive these efforts (both internally and from partners). One company has a head of AI in every business unit that roles up to a central team, just to keep all the functions coordinated. * Tokenmaxxing! Most companies operate with very strict OpEx budgets get locked in for the year ahead, so they’re going through very real trade-off discussions right now on how to budget for tokens. One company recently had an idea for a “shark tank” style way of pitching for compute budget. Others are trying to figure out how to ration compute to the best use-cases internally through some hierarchy of needs (my words not theirs). * Fixing fragmented and legacy systems remain a huge priority right now. Most enterprises are dealing with decades of either on-prem systems or systems they moved to the cloud but that still haven’t been modernized in any meaningful way. This means agents can’t easily tap into these data sources in a unified way yet, so companies are focused on how they modernize these. * Most companies are *not* talking about replacing jobs due to agents. The major use-cases for agents are things that the company wasn’t able to do before or couldn’t prioritize. Software upgrades, automating back office processes that were constraining other workflows, processing large amounts of documents to get new business or client insights, and so on. More emphasis on ways to make money vs. cut costs. * Headless software dominated my conversations. Enterprises need to be able to ensure all of their software works across any set of agents they choose. They will kick out vendors that don’t make this technically or economically easy. * Clear sense that it can be hard to standardize on anything right now given how fast things are moving. Blessing and a curse of the innovation curve right now - no one wants to get stuck in a paradigm that locks them into the wrong architecture. One other result of this is that companies realize they’re in a multi-agent world, which means that interoperability becomes paramount across systems. * Unanimous sense that everyone is working more than ever before. AI is not causing anyone to do less work right now, and similar to Silicon Valley people feel their teams are the busiest they’ve ever been. One final meta observation not called out explicitly. It seems that despite Silicon Valley’s sense that AI has made hard things easy, the most powerful ways to use agents is more “technical” than prior eras of software. Skills, MCP, CLIs, etc. may be simple concepts for tech, but in the real world these are all esoteric concepts that will require technical people to help bring to life in the enterprise. This both means diffusion will take real work and time, but also everyone’s estimation of engineering jobs is totally off. Engineers may not be “writing” software, but they will certainly be the ones to setup and operate the systems that actually automate most work in the enterprise.

@Simi_2210_ @one_by_two 179

If you solve this, you’re different Can you solve ?

@danmartell This may work upto 1000, does not scale beyond

Jack Dorsey just published something that should be required reading for every founder. The premise: the org chart needs to be replaced entirely. And the argument starts 2,000 years ago. For thousands of years, every organization on earth has run on the same logic the Roman Army invented. Small teams report to a leader → Leaders report to managers → Managers report to executives. The whole structure exists for one reason: to route information up and down the chain. That's it. The whole system exists to solve a bandwidth problem. Jack's argument is simple: AI solves it better. Block built what they call a "world model" - a continuously updated picture of everything happening across the company. Every decision. Every customer. Every transaction. Every bottleneck. In real time. No status update needed. No weekly sync. No manager to translate what's happening on the ground into language the executive can understand. When the world model carries the information, you don't need the layers. So they eliminated them. Block now runs on three roles: Individual contributors who build. DRIs who own specific outcomes for a fixed period. Player-coaches who develop people while still doing the work themselves. No middle layer. The system handles coordination. The humans handle the work. I've coached thousands of founders. The number one problem is always the same: information latency. By the time a problem surfaces from your front line to leadership, it's already compounded. By the time a decision travels back down, the damage is done. That lag costs you deals, people, and momentum. And most founders accept it as the price of scale. Block is trying to prove you don't have to anymore. I think they're right. Because the hierarchy was never the point - it was just the best tool we had. The moment something better exists, the layers eventually collapse. This is either the biggest structural shift since the 1850s - or it breaks at scale like everything else before it. Either way - every founder should be asking the same question: how much of your org exists just to route information? If the answer is "most of it" - that's your problem. And your opportunity. -DM

@bchesky Please look into this matter. Your platform cancelled my reservation, and now the same apartment is 3 times the price.

@Airbnb You cancelled our upcoming reservation which we had booked in Feb for “internal and safety reasons” and now the same apartment is available for 3 times the price. This is unethical and unacceptable practice.

@AirbnbHelp Sent

@realashgore Hello there. Our goal is to ensure that you are supported with your concern. We would like to see how we can further assist you. Please send us a DM with your email, so we can take a closer look. Thank you. twitter.com/messages/compo…

@AirbnbHelp You cancelled our upcoming reservation which we had booked in Feb for “internal and safety reasons” and now the same apartment is available for 3 times the price. This is unethical and unacceptable practice.

Just a reminder why electric vehicles are better than gas cars:

@Grady_Booch Facts aboutamazon.com/news/aws/aws-s…

This is why I keep an air gap between Claude and my release production code

@MikeIsaac Facts aboutamazon.com/news/aws/aws-s…

amazon's internal A.I. coding assistant decided the engineers' existing code was inadequate so the bot deleted it to start from scratch that resulted in taking down a part of AWS for 13 hours and was not the first time it had happened incredible ft.com/content/00c282…

Hi @ReplitSupport I have been trying to get my site up for the past 24 hours. Support says process is failing while attempting to acquire SSL certificate. Domain verification is failing. You guys have not been able to fix this for more than 24 hours! Plz help.

@amoljain_ @Replit Using replit for few months now. Great product. I have run into a domain verification issue. Site is down for the whole day. Contacted support and getting the same automated responses. Can you route to appropriate team please? Ticket number is 286212. Thank you!

We're hiring our first Growth PM at Replit. Replit Agent saw 100x revenue growth in 1 year. This role gets to build on that curve or bend it even harder. If this sounds interesting, or you know someone who would be a great fit, DM me.

@DSDOConnor Getting worse? Which planet are you living on?

This article is delusional nonsense from an aspiring upstart kid in the AI industry who is trying to break into the club by proving how zealously and deceptively he can sing its praises. Generative AI became a big thing in 2022 (ChatGPT). Immediately, pundits around the world promised it would radically revolutionalize everything within months. Here we are in 2026, and it's revolutionized *nothing*. It has impoverished us, it has cost trillions, it has gobbled up electricity we need for real things, it has greatly harmed education, relationships, and even society's grasp of truth itself. All the while, it's done remarkably little on the positive side. Moreover, AI isn't getting better. It's getting worse. I don't know what planet this kid is from to claim it's suddenly getting everything right. I've found it recently hallucinating even more often than it used to. AI won't take many jobs. If only. Managing it, powering it, administering it, etc., is requiring far more effort (and always will require far more effort) than it saves us. It is the new Tower of Babel. It will fail to deliver on all of its promises (and even most of its threats). But it will become the host for the Image of the Beast, because delusional articles like this one have by now succeeded in convincing the world that AI is superintelligent, even though it is, and always will be, far less intelligent than a 7 year old. Please read Part 4 of The First and Last Deception.

@RightPulseNewss 2 😆

Can you solve it?

@Arden_2210 36

Answer without Ai No cheating