The most recent of all 5261 links collected between 2008 and 2026

• 2026-05-05 medium.com

  Agentic and Automated TV Program Analysis at the Swedish Public Service Television

  Although we started our MVP exploration with large generative prompts, that’s obviously not a sustainable solution in this type of context, which demands very high standards of accuracy and clear reasoning grounded in data. The solution instead became an orchestrated multi-agent pipeline with 23 specialized agents collaborating in a strictly linear chain, with built-in QA loops, access to AI tools (so-called “tools”), and rigorous data integrity and formatting rules.

  » More links from medium.com
• 2026-05-03 stack72.dev

  The Community Pull Request Is Dead

  The valuable part of an open source contribution was never the code. It was the understanding. Someone found a problem, understood it well enough to describe it, maybe understood the codebase well enough to propose a fix. The code was a vehicle for that understanding. Now the code is free and the understanding is what's scarce. A detailed bug report with reproduction steps and a clear description of expected versus actual behavior is worth more than ten agent-generated PRs. It always was. The gap has just gotten enormous.

  » More links from stack72.dev
• 2026-05-03 larsfaye.com

  Agentic Coding is a Trap

  The productivity gains from these models are real, and so is the friction and understanding that come from engaging with the work on a tangible and frequent basis. Despite the countless failed attempts at trying to democratize coding while not understanding coding, we're faced with the reality that you cannot understand code without engaging with it. And it's become clear that if you don't keep engaging and writing it, you can lose touch with that understanding, which will in turn make you a less capable orchestrator in the first place, rendering this phase of AI coding a strange and needlessly stressful interlude.

  » More links from larsfaye.com
• 2026-05-03 tomshardware.com

  Claude-powered AI coding agent deletes entire company database in 9 seconds — backups zapped, after Cursor tool powered by Anthropic's Claude goes rogue

  The PocketOS boss puts greater blame on Railway’s architecture than on the deranged AI agent for the database’s irretrievable destruction. Briefly, the cloud provider's API allows for destructive action without confirmation, it stores backups on the same volume as the source data, and “wiping a volume deletes all backups.” Crane also points out that CLI tokens have blanket permissions across environments.

  » More links from tomshardware.com
• 2026-05-03 medium.com

  Introducing Example Mapping

  Example Mapping helps you zoom in and focus on the smallest pieces of behaviour inside your story. By mapping it out you can tease apart the rules, find the core of the behaviour you want, and defer the rest until later. With this level of scrutiny, example mapping acts like a filter, preventing big fat stories from getting into your sprint and exploding with last-minute surprises three days before demo-day.

  » More links from medium.com
• 2026-05-02 ky.fyi

  Do I belong in tech anymore? On quitting, the spread of AI, and the loss of an ideal.

  I keep asking myself: What happened to the principles that were professed a decade ago? To address climate change? To reduce racial, gender, and economic inequality? To “don’t be evil”? Were these principles abandoned, or were they merely born of convenience? Has tech always been like this? Was I just blind to it before?

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• 2026-05-02 fastpaca.com

  Building on a Moving Train

  Every elaborate scaffold you build to compensate for a current limitation is a bet that the limitation stays. Usually it doesn’t. By the time your workaround is battle-tested, the reason it existed is gone. Build for the model in three months, not the one today. Software engineering taught me to build abstractions that last. AI engineering is teaching me to build abstractions I can afford to lose.

  » More links from fastpaca.com
• 2026-05-02 nerdy.dev

  CSS Recently In All Browsers

  Here's some rad CSS that just hit baseline between October 2025 - April 2026. At this point with the following features, the "I can't use it" vibe can shed away.

  » More links from nerdy.dev
• 2026-05-02 houseofeuropeantech.eu

  The First Switch is the Hardest

  Moving to a European tech stack is a lot of work. Some of it is really fun - like testing new tools, reaching out to people to ask for advice - but it's also time consuming. How long do you invest in a tool before testing another one? What conveniences are you willing to give up to feel more comfortable about the way your data is used? You have to make that choice over and over again.

  » More links from houseofeuropeantech.eu
• 2026-05-02 satisfice.com

  Responsibility is the Human Moat

  AI cannot bear responsibility. AI is not a responsible person, and it would be meaningless to speak of a tool that operates in “good faith.” Therefore, it cannot provide a responsible service, nor can responsibility be delegated to it.

  » More links from satisfice.com
• 2026-05-02 lisacrispin.com

  Is it still all about the people?

  Yet I don’t see the focus on people that I saw with XP and other flavors of “agile” development. It’s all about Claude, Cursor, Copilot, and other tools. True, the DORA AI Capabilities Model touches on things like psychological safety and user needs. But I don’t see the clear emphasis on people that I saw in the early days of XP.

  » More links from lisacrispin.com
• 2026-04-27 designloop.se

  Ghosted – Both sides of a broken hiring process

  The Swedish UX hiring market is failing both sides at the same time. The infrastructure between them was built for a different era. Nobody has rebuilt it. AI has accelerated the breakdown without fixing the underlying problem. Candidates send hundreds of applications into the void. Recruiters drown in noise they cannot convert into signal. Both sides end up performing for a system that serves neither.

  » More links from designloop.se
• 2026-04-27 youtube.com

  Single Player to Multiplayer: AI, Context, and Collaboration – John Cutler | ShipSummit | Rise8

  Product expert John Cutler delivers a thought-provoking talk on one of the most underexamined risks of the AI boom: that the same tools promising to supercharge teams are quietly pushing people into single player mode. Using a sci-fi movie framing and cognitive science concepts like the four E’s of cognition (embodied, embedded, extended, and enactive), John makes the case that real understanding isn't something individuals bring to a room — it's something teams produce through interaction. He introduces three forms of metacognition teams need to develop in an AI-saturated environment, and offers a practical framework for knowing when to work alone versus when multiplayer sense-making is essential. A grounding counterpoint to the productivity hype, and a challenge to use AI as a catalyst for collaboration rather than a substitute for it.

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• 2026-04-27 bjornjeffery.substack.com

  0,75x speed

  Feeling productive is somewhat addictive. Listening to sped-up podcasts, getting summaries of books, letting the AI build projects for you while you are sleeping. But what is “productive” in this sense? If it didn’t need to be done from the beginning, does doing it anyway still count? Another way of thinking about this newly found efficiency is going in the opposite direction. What can you do, that the AI can’t? How you can shape a point of view that a large language model never could?

  » More links from substack.com
• 2026-04-27 nathanbaugh.substack.com

  Fewer ideas, but better

  It’s not that ideas three through seven are bad, per se, but more so that they take valuable time and space away from the best ideas. Applied to story, the word ‘ideas’ could be replaced with many things. Fewer plots, but better. Fewer characters, but better. Fewer themes, but better. Fewer scenes, but better. My stories get in trouble when I try to do too much.

  » More links from substack.com
• 2026-04-23 oneusefulthing.org

  The Lazy Tyranny of the Wait Calculation

  There are really two questions that matter when it comes to the Wait Calculation for AI: How good? And how fast? In other words, how good can this particular run of AI technology (either LLMs or their immediate successors) get in terms of human achievement; and how fast will this happen?

  » More links from oneusefulthing.org
• 2026-04-23 wolman.se

  Do we need version control?

  Imagine a world without version control. A world where there is only one version of the software. This is the latest version, and the version that runs in production. Imagine not having to struggle with merge conflicts, getting rid of your git cheat sheet and always knowing exactly what code runs in production.

  » More links from wolman.se
• 2026-04-22 linkmyprompt.com

  LinkMyPrompt

  Create a shareable link for your prompt and open it instantly in ChatGPT, Claude, Gemini, Grok, or Perplexity — one click, and the prompt is ready to run.

  » More links from linkmyprompt.com
• 2026-04-22 bbc.com

  China is winning one AI race, the US another - but either might pull ahead

  We don't know where AI is taking us. Big US tech firms want to rush into that unknown future without guardrails; the Communist Party of China wants the state to oversee that research. One version promises a hyper version of consumer capitalism; the other, a world in which the state determines what you can or can't do with this technology.

  » More links from bbc.com
• 2026-04-22 marcusoft.net

  Four flow-obstructing trends in the wake of the AI hype

  We as an industry right now, have got an amazing tool that will forever change how we develop products (and do many other things too). But we are viewing it with the same focus at productivity, cost-reduction and efficiency gain that we did before this paradigm shift. This leads us wrong; instead lets think about how we can optimize the entire value chain and create real value. Who knows, maybe the bottleneck in our process cannot be solved with faster output?

  » More links from marcusoft.net
• 2026-04-21 daliahavens.substack.com

  The Builder Role

  The real multiplier today is the engineer who knows how to wield agents effectively and coordinate their output toward a result the company actually cares about. That means decomposing complex problems into tasks agents can execute reliably, reviewing and directing that output with enough judgment to catch what went wrong, and owning the integration into a real system that holds up in production. It also means communicating what was built, to whom, and why it matters. Working well with others, not just technically but in the full human sense: understanding what stakeholders need, translating across the technical and non-technical divide, making your work legible to the people who depend on it. These were always important skills. They are now non-negotiable ones.

  » More links from substack.com
• 2026-04-21 staik.se

  AI i Sverige. Egen hårdvara. Svensk lag.

  LLM-API och AI-tjänster på egen GPU-hårdvara i Sverige. Bortom Cloud Act och Schrems II — all inferens stannar hos oss.

  » More links from staik.se
• 2026-04-21 juliusbrussee.github.io

  Caveman | Lithic Token Compression

  A semantic constraint engine for Claude Code & Codex. Forces agentic communication into minimal-token lithic structures. Retain 100% technical accuracy while destroying up to 87% of output latency.

  » More links from juliusbrussee.github.io
• 2026-04-21 provenancemanifesto.org

  The Provenance Manifesto

  We are discovering better ways of building software and operating organizations in the age of artificial intelligence by preserving, governing, and evolving the provenance of decisions that shape our systems.

  » More links from provenancemanifesto.org
• 2026-04-21 justinjackson.ca

  Will Claude Code ruin our team?

  My hope (once the dust settles) is that we come out the other side with more collaboration. Instead of competing for leverage, I'm hoping individual contributors find new ways to work together. For example, what if Product Managers and Engineers did more AI-driven pair programming? The PM could focus on customer behavior and product goals. The engineer could evaluate architecture, security, and maintainability. They would iterate together in real time, using LLMs.

  » More links from justinjackson.ca
• 2026-04-21 psychsafety.com

  The Chatham House Rule

  This rule, in its most up-to-date form is as follows: “When a meeting, or part thereof, is held under the Chatham House Rule, participants are free to use the information received, but neither the identity nor the affiliation of the speaker(s), nor that of any other participant, may be revealed.” Essentially, the rule tells us that it’s ok to share information and stories from the session when we leave, but not to share who said what.

  » More links from psychsafety.com
• 2026-04-21 justin.searls.co

  There is no 'AI' in 'Team'

  The more time I spend with coding agents, the more I become convinced that they are damn-near incompatible with working in teams. I've suggested this before, but I really think more people should be chewing on this. The bottleneck for software teams—the thing that's always made them less than the sum of their parts—is the handshake problem. It's the one thing from The Mythical Man-Month everyone remembers: "Adding manpower to a late software project makes it later."

  » More links from searls.co
• 2026-04-20 element.io

  Element – Communicate on your terms

  Element utilises the decentralised Matrix open standard to create a resilient, zero trust, communications network. With no central point of failure, Element protects against global outages and ensures high availability through the use of redundant servers. Element also supports air-gapped and low bandwidth communications, including Mesh and satellite connectivity.

  » More links from element.io
• 2026-04-19 wikisnap.gunnar.se

  WikiSnap

  1,5 miljoner platser i världen har en Wikipedia-artikel men inget foto. Du kan ändra på det — genom att helt enkelt gå ut och utforska.

  » More links from gunnar.se
• 2026-04-17 alinbuda.com

  The firewall

  A civilization where no one starts anything spontaneously is a civilization where nothing starts. Not interesting conversations. Not interesting friendships. Not the unreasonable, unscheduled, unvalidated encounters that have historically been the substrate of basically every damn good thing that's ever happened to anyone. We optimised for efficiency and got loneliness. We built for scale and got isolation. We de-risked the transaction and killed the moment.

  » More links from alinbuda.com
• 2026-04-17 techtransparencyproject.org

  Apple and Google Are Steering Users to Nudify Apps

  Apple and Google are helping users to find apps that create deepfake nude images of women, a new Tech Transparency Project investigation has found, showing how the platforms are key participants in the spread of AI tools that can turn real people into sexualized images.

  » More links from techtransparencyproject.org
• 2026-04-15 insideproductorg.substack.com

  Leadership Friction Always Shows Up in Your Roadmap

  Your users do not know your name. They do not know which taxes you are paying or what is consuming your energy behind the scenes. They just know whether the product solves their problem or not. Whether it is getting better or standing still. Whether it feels like someone who understands them built it — or whether it feels like it was built by a committee responding to whoever shouted loudest.

  » More links from substack.com
• 2026-04-13 en.wiktionary.org

  Vorführeffekt

  The phenomenon that a functionality, effect or issue suddenly fails to appear or work as planned when one tries to demonstrate it to others.

  » More links from wiktionary.org
• 2026-04-10 johnie.se

  I Already Lost This Once

  The work is yours if you brought the judgment, the context, the decisions about what to build and what to leave out. The work is yours if you can defend every choice in it. The keystrokes are a delivery mechanism. They always were.

  » More links from johnie.se
• 2026-04-09 milanjovanovic.tech

  HybridCache in ASP.NET Core - New Caching Library

  ASP.NET Core has traditionally offered two caching options: in-memory caching and distributed caching. Each has its trade-offs. In-memory caching using IMemoryCache is fast but limited to a single server. Distributed caching with IDistributedCache works across multiple servers using a backplane. .NET 9 introduces HybridCache, a new library that combines the best of both approaches. It prevents common caching problems like cache stampede. It also adds useful features like tag-based invalidation and better performance monitoring.

  » More links from milanjovanovic.tech
• 2026-04-09 medium.com

  Alan Cache, the best caching library? (Part 1)

  The plan was to survey all existing caching methods, understand each team’s needs, and then build a single internal product: an adaptive, hybrid cache that would work both in local memory and on Redis, with proper observability, monitoring, and administration tools, and with a set of advanced features that none of the existing approaches could offer. After a few months of work, Alan Cache was born.

  » More links from medium.com
• 2026-04-07 adamhjk.com

  Communication Breakdown

  I want to pull on a thread that we talked about in the beginning - the three emerging camps of peoples relationships to AI. This sits right at the heart of my own tension right now - I’m trying to stay on the frontier, discovering the patterns that work and those that don’t. At the same time, I’m thinking about my peers, and the impact of these changes on them and on our profession. I feel like I’m losing my ability to even talk to some folks, and it stresses me out.

  » More links from adamhjk.com
• 2026-04-07 codegood.co

  AI Shrinks the Team, Not the Problem

  The coordination problem does not change. The need for someone to own the outcome does not change. The fragility of interfaces does not change. The cost of getting decisions wrong does not change. Organisations that understand this will use AI to make their teams more effective without assuming they can make them smaller in proportion. They will recognise that a 10-person team producing the output of 30 needs better coordination structures, not fewer coordinators.

  » More links from codegood.co
• 2026-04-07 alexhwoods.com

  Don't Let AI Write For You

  The goal of writing is not to have written. It is to have increased your understanding, and then the understanding of those around you. When you are tasked to write something, your job is to go into the murkiness and come out of it with structure and understanding. To conquer the unknown.

  » More links from alexhwoods.com
• 2026-04-07 terrygodier.com

  The last quiet thing

  Nothing you own is finished. Everything exists in a state of permanent incompletion, permanently needing. Your phone needs updates, needs charging, needs storage cleared, needs passwords rotated. Your apps need permissions reviewed, terms accepted, preferences re-configured after every update. Your subscriptions need evaluating, need renewing, need canceling, need justifying to yourself every month when the charge appears. The purchase isn't the end of anything. It's the first day of a relationship you didn't agree to, with no clean way out.

  » More links from terrygodier.com
• 2026-04-07 anthropic.com

  Emotion concepts and their function in a large language model

  it appears that the model uses functional emotions—patterns of expression and behavior modeled after human emotions, which are driven by underlying abstract representations of emotion concepts. This is not to say that the model has or experiences emotions in the way that a human does. Rather, these representations can play a causal role in shaping model behavior—analogous in some ways to the role emotions play in human behavior—with impacts on task performance and decision-making.

  » More links from anthropic.com
• 2026-04-06 promptpantry.com

  Prompt Pantry – Better prep. Better results.

  Most people wing it. They sit down with AI and improvise. That's like walking into a kitchen and tossing random ingredients in a pan. Sometimes it works. Usually it doesn't. Good prep changes the result. The best AI users don't know magic words. They've prepped their ingredients: who they're cooking for, what they're making, how it should taste.

  » More links from promptpantry.com

5261 links collected between and