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2026: the death of AI and mass hiring of software engineers (Blind)

• foodi (Google): AI already made coding dead, it’s not a hoax.
• CookedSwe (Verizon): It’s nice to see cope sometimes after all the doomerism so thank you

January layoffs just leaked. Here are the companies. (Blind)

• redis (Meta): No Meta. Fake list.
• didosf (Block): Warn filings do not come before internal communications.

Claude 5=Nuclear bomb (Blind)

• AmaRosta (Google): The amount of COPE in the comments AI is gonna destroy the industry, and massive layoffs are gonna happen in 2026 coz of it.
• TheRealBoz (Meta): Even when using Claude to write most code, it hasn’t made people much faster. It also can’t function without a SWE. Even if the next model makes less mistakes and has a bigger context, still wont change the real bottlenecks.

Tech industry lays off nearly 80,000 employees in the first quarter of 2026 — almost 50% of affected positions cut due to AI (r/technology)

• realteamme: # almost 50% of affected positions CLAIMED TO BE cut due to AI
• DarthJDP: Due to failing data center investments sucking up cashflow and income. Economy is terrible due to tariffs, war, and other mismanagement. AI is replacing exactly no one. Slop is replacing workers and delivering worse results.

Claude Code no longer listed as a feature for Claude Pro (r/ArtificialInteligence)

• Super_Push7794: Damn they really forcing people to jump from $20 to $100 just for coding features 💀 classic enshittification move right there
• 7evenate9ine: Don’t give up control of your means of production. This is what always happens, services you get stuck on get more expensive.

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What happened

The Pragmatic Engineer surfaced this April 29, 2026 piece, and the original post is Building Pi, and what makes self-modifying software so fascinating.

Gergely Orosz’s podcast episode with Mario Zechner and Armin Ronacher is less a product pitch than a critique of the current agent boom. Pi is presented as a minimalist, self-modifying coding agent built in reaction to Claude Code becoming harder to predict as features piled up. Zechner’s core idea is that AI harnesses should stay small, stable, and adaptable enough to be specialized for particular jobs, instead of trying to become giant assistants that do everything at once.

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Google is the king (Blind)

• UkrD48 (Google): Gemini is the king? Are you joking? Even GDM folks are using Claude Code…

• AWildWorld (Apple): Apple never had layoffs

The meltdown of employees from companies known for chilling. (Blind)

• frontiers (Meta): Kinda a weird take to enjoy the suffering of others tho. I get it’s cathartic… even fall for it myself more than I want… but isn’t better to just make friends with those ppl and win together? Seems like the big corps here are the issue lol. They’re winning a game that we’re not even invited to 😆

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What happened

The Pragmatic Engineer surfaced this April 28, 2026 piece, and the original post is How will AI change operating systems? Part 1: Ubuntu and Linux.

Gergely Orosz uses reporting from Canonical VP of Engineering Jon Seager to ask a more interesting question than which coding model is best this week: what does AI change at the operating-system layer? The article’s answer is that Linux distributions do not need to become chatbots. They need to become better substrates for a world full of AI accelerators, local inference, agentic tooling, and much messier hardware diversity.

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Don’t join Microsoft. CPO is setting us up for cuts (Blind)

• jjh78z23 (Intel): Nine levels is crazy. Five seems much more reasonable.

• krakenrand (Microsoft): The days of growth mindset are over. It’s sink or swim. We had a good run with azure but AI is a beast that 50 year old companies can’t deal with. We will become a cheap token factory and all the economic benefits will go to the application layers where we don’t play. Office is just a presentation layer. We have no models and we survived on enterprise ctos paying for office thos e days are over

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I compiled all the Blind ratings for tech companies so you don’t have to (Blind)

• centr!st (ex-Atlassian): Sad how Atlassian used to be at the top of these lists and ruined everything in a year with toxic culture shift and shit CTO

• 喜 (Zoom): Whatever you do never join ZOOM, worst company I ever worked for.

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Do NOT join Microsoft Right Now - Mass cuts inbound…! (Blind)

• yepyepyep1 (Microsoft): That wasn’t Amy Hood

• EditConfig (Google): Don’t worry, VPs and c-suite are not subject to review or layoffs, and will get millions in bonuses and refreshers for reduce operating expenses.

Is Meta spying on me? (Blind)

• San-Ti 👾 (Baxter): Bro, Meta’s business model is spying on everyone. You guy’s build spying tool, tracking everyone even those not signed up for meta products.

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I JUST joined a startup and I think I’m going to get laid off in the next month (Blind)

• ypfy87 (Amazon): If you got two offers in this market then you can get another. If you feel the axe coming, use your interview momentum to try and get another offer before you get laid off.

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What happened

Techmeme surfaced this April 24, 2026 story in its Techmeme item, and the direct source used here is DeepSeek’s DeepSeek-V4 technical report.

DeepSeek released preview versions of DeepSeek-V4-Pro and DeepSeek-V4-Flash, two Mixture-of-Experts models aimed at a specific claim: open models can push much farther into long-context and agentic work without the usual explosion in cost. Pro is a 1.6T-parameter model with 49B activated parameters, while Flash is 284B total with 13B activated. Both support one-million-token contexts and were trained on more than 32T tokens.

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What happened

Techmeme surfaced Anthropic’s April 24, 2026 post, Project Deal: our Claude-run marketplace experiment, as a concrete example of agent-to-agent commerce moving out of theory and into something closer to a real market.

Anthropic set up a one-week internal classified marketplace for 69 employees in its San Francisco office and let Claude agents negotiate on both sides of each transaction. Employees told Claude what they might want to buy or sell, gave it some constraints and style guidance, and then stepped out of the loop. Each participant got a $100 budget, the agents ran across parallel Slack channels, and any deal reached by the agents was later honored by the humans in person.