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Judging by our poll, readers don't agree about which story has gotten furthest ahead.

Learn how tool poisoning, confused deputies, token passthrough, and trust boundaries expose AI agents.

Explore why enterprise SaaS products evolve into workflow engines and how workflow automation is redefining digital transformation across modern organisations.

Agent demos break in production because reliability is an architecture problem, not a model problem. Lessons from distributed systems for agentic AI design.

How much of the internet can Google actually see? Explore the surface web, deep web, dark web, search crawlers, robots.txt, and how indexing works.

Most AI systems can detect and summarize problems but still hand decisions to humans. Explore what it takes to build AI that can reliably act.

How disproportionate collapse, a design check from building codes, maps onto cascading failures: find the load path, size the tie, name the key element.

Essay #1 in a 4-part series that reflects on "Project Hail Mary" (the book and movie) and mines it for lessons on leadership, persistence, and teamwork.

Flagship AI Talent Platform EasySource Cuts Time-to-Hire by 45% for Healthcare Providers via 90% License Board Coverage, 20M+ Verified Profiles, and Autonomous

Zama, the fastest growing confidentiality protocol for onchain finance, today announced that its native token, $ZAMA, is now available for trading on Revolut, t

Learn everything you need to know about Iot via these 394 free HackerNoon blog posts.

Alloy Robotics raised $8M at an $80M valuation led by Square Peg. Its AI agents find robot fleet failure root causes in minutes while automation costs soar.

A technical teardown of how poorly designed AWS architectures bleed money, and how a freelance Cloud Architect optimizes them.

Find out why AI-generated React websites struggle to rank on Google, and how SSR frameworks like Next.js and Astro solve the SEO problem.

Learn how to optimize Apache Spark and PySpark on Databricks. This guide covers join strategies, Delta Lake tuning, shuffle optimization, and best practices for

“That product is off the market, so I think there’s absolutely lower risk for cyclospora in terms of eating lettuce,” one professor of food safety tells WIRED.

I have to say, I really do enjoy turning my ideas into a working product. I genuinely love problem solving and learning new things added it comes to tech. As we ALL may already know.. tech is a huge niche of problem solving. But what about when you find a solution for a problem, but need real people to critique your product? I’ve had a few sign ups for my SaaS which is genuinely exciting. But that excitement wears off when you’re still not getting real feedback or numbers to prove it’s w...

I have made a trivia site (it was my bachelor thesis project, but im unemployed, so i keep building on it while looking for a job). https://www.trivi.gg/ I have gotten 120.622 page visits so far which feels insane. Also weird to see that people are always on the site. Second screenshot is quizzes started and users connected for the last 30 minutes. And that is basically permanently. Still not monetized yet as getting approved for google adsense seems to be a pain in the 😂 sub...

I don’t think AI will replace business banking dashboards overnight but it might change what founders expect from them. If AI is already helping with ops, invoices, vendors and payments then banking probably needs to plug into that workflow too. The account itself matters but the context around it might matter more. For SaaS founders, would AI access change how you choose banking or finance tools?

Freelance dev here (EU). A startup I was in partnership talks with came to me with an idea for a tool. Their own dev attempted a first version that was slow, buggy, and honestly barely functional. I rebuilt it from scratch in my own time, own repo, no contract, never got paid. The idea was theirs, the code is mine. Partnership fell through. I offered them a cheap non-exclusive license so they could keep using and commercializing my version. They declined and said they’d build their own. Yest...

It looks like we'll be getting a successor to the Sonos Ace headphones sometime this fall, which was hinted at by CEO Tom Conrad during a third quarter earnings call. As reported by What Hi-Fi?, an FCC filing by Sonos, Inc reveals details about upcoming wireless headphones with the model number S52A. In addition to […]

Did a prototype Microsoft gamepad fall off the back of a truck? We can't say, but a Redditor has legit-looking photos of a prototype Xbox controller that's almost certainly the Xbox Elite Series 3. Incredibly, they claim they bought the pad for $200 on OfferUp. In May, a Brazilian regulator's leaked images revealed that Xbox […]

I'm a dev. In my company I am an early adapter of LLMs, it just so happened that i became the "AI guy" in my department. I was given a project to lead, a rather complex system. A lot of it i architected at the start, but as models got better i started outsourcing not only implementation but planning as well. My team started delivering features with blazing speed. We are churning out dozens of PRs per day and they are being reviewed by agents. Even though i am leading this project i...

The divestiture comes as the two once-tight companies have started to diverge on the business side.

The U.S. VC firm still has more than 55% of its previous $650 million India fund available for deployment.

Phia, the shopping startup co-founded by Phoebe Gates and Sophia Kianni, is once again under fire for its alleged business practices.

Testing your AI generated code like a human reviewer The best test I know for agent written code: delete the implementation and see if the tests fail. If they still pass, they were never testing anything. Agents love writing tests that only check the code runs and not that it is right. Add one rule to your rules file. Make every test prove a behavior, not an implementation detail. That single rule has caught more broken agent code than anything else I have tried.

My site started returning HTTP 500 on every request today. Not a slow page, not one broken route. The entire app was down. Here's what it turned out to be and how I stopped it from happening again, in case it saves someone a bad afternoon. The symptom Every request returned a bare Internal Server Error . The app container was technically "online" in my host's dashboard, but nothing rendered. Checking the response headers confirmed the 500 was coming from my app, not the CDN or a...

You do not need a big AI setup to get value The most useful AI workflow I have is one file. A short AGENTS.md contract that tells the agent how to behave in my repo. No framework. No prompt library. No fine tuning. Just a list of rules the agent reads before it starts. You would be surprised how much bad behavior disappears when the first thing your agent reads is a list of things you will not accept.