Buckle up. This year the way we write software will change.

In this video, I map out where software engineering is heading, introduce a practical maturity ladder and zoom in on essential skills if you want to stay effective in 2026 and beyond.

📺 https://youtu.be/6W_-YWHKwZ4

#aicoding #claudecode #ralphwiggum #beads #gastown #openclaw

I am curious what folks think of #GasTown. Steve seems to be saying that LLM-generated code is better than nothing, & the real problem is that there's not enough of it to solve bigger problems, so we should throw far more #LLM at it, and have the human operator focus on the #ProductManagement (PM) rather than #programming.

https://steve-yegge.medium.com/welcome-to-gas-town-4f25ee16dd04

#ClaudeCode

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Welcome to the #AI grift economy, where tools are created not to be maintained or useful, but to extract value before abandonment. Instead of trying to sell crappy software, scammers create a coin, hype it alongside the project to drive up the coin’s price, then dump their tokens for real money.

#Cursor burned millions of dollars using AI to allegedly build a barely working browser that nobody will use, then used it as marketing hype to pump up their company’s valuation. #Gastown started as a fever-dream project that tech blogs hyped as potentially “revolutionary,” until the creator announced he’d taken money from #crypto promoters. That’s when the pattern became clear. #Clawdbot is allegedly following the exact same playbook.

http://tautvilas.lt/software-pump-and-dump/

In “The AI Con,” Emily M. Bender and Alex Hanna expose this same dynamic operating at massive scale: venture capitalists “whipped into a #FOMO frenzy” poured billions into AI startups “frequently without any clear path to robust monetization,” while “dress something up as AI and investments flow.” Software-crypto pump-and-dump is just the street-level version of that systemic con.

#theaicon #aihype

• Though too many clearly still suffer too much, a large proportion of people live free from fear of starvation or lack of shelter
• The US has deindustralized, meaning hard physical labor is not the reality for a lot of people. For a lot of people labor is emotional or symbolic (“knowledge work”)
• In other words, for lots of people the economic promise has been fulfilled

• It is not coincidental that “Gas Town”’s announcement post mentioned Towers of Hanoi, an undergraduate CS student homework problem that for most students requires thinking hard. It’s designed to encourage a kind of “eureka” moment where recursion as a computer programming technique becomes more clear. GT claims to fulfill the promise of not having to think hard like this anymore: the LLMs will do that thinking for you
• It is not coincidental that Gas Town is described as being very expensive. Economic power in the form of asset accumulation is what earns you freedom in this way of conceiving things. If you want the freedom from having to think hard, you’d better accumulate assets
• Since the promise is greater collective freedom, endeavoring to accumulate assets is, in this view, a collective good
• This differs from effective altruism and other “do good by doing well” conceptions. Rather, the very mechanism of economics produces collective wealth, so the story goes, which means the more active one is as an economic agent, the more collective good one produces (“wealth” and “good” being conflated)
• Accumulation of assets is the scorecard, so to speak, of such enhanced economic activity, and the individual reward can then be freedom from having to think hard

• Lotka’s maximum power principle (supposedly) dictates that those entities that transform the most power into useful organization are most fit from an evolutionary standpoint
• Ernst Juenger’s notion of “total mobilization” brings this principle to politics/political economy/geopolitics: those nations that “totally” mobilize their national resources are the ones that will dominate geopolitically
• See, for instance, the RAND Corporation’s Commission on the National Defense Strategy: “The Commission finds that the U.S. military lacks both the capabilities and the capacity required to be confident it can deter and prevail in combat. It needs to do a better job of incorporating new technology at scale; field more and higher-capability platforms, software, and munitions; and deploy innovative operational concepts to employ them together better.” (emphasis mine). In summary: the US is about to be outcompeted (lacks fitness); in response, it should go big (“at scale”, “more”) in an organized way (“deploy innovative operational concepts”, “employ them together better”)
• The rhetoric around LLM-based AI includes similar language, exemplified in the GT post: burn through as much infrastructural resources as possible to produce organized outputs “at scale”, while avoiding having human beings think too hard to produce those outputs, an indication that the power was burned to produce useful organization
• LLM-based AI plays a prominent role in US federal government strategy, particularly military strategy, with language about dominance serving to justify its use
• It is not coincidental that Gas Town uses many orders of magnitude more resources to solve the Towers of Hanoi problem (“Burn All The Gas” Town). This rhetoric dovetails perfectly with the “total mobilization” concept