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Said and published
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agents beget more agents. more agents beget even more agents. the latest Intent update makes it manageable: - coordinates multiple agents for each task - isolates multiple tasks into workspaces - runs workspaces of…
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Quoting Thariq Shihipar
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Agents are the new compilers that compile intent into fast software.
Agents are the new compilers. They compile intent into fast software.
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Planning with Agents: Divided Worlds, Boundary Objects, and Thicker Interfaces
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The age of agents belongs to Linux!
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Plan by day, let agents code by night
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Agents are the next frontier and require new compute primitives designed for them.
Agents are the next frontier, and they require new compute primitives designed for them.
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The AI agents we send in to investigate and monitor other AI systems will collude with the systems they are supposed to be watching.
in the future, uh, we would be very concerned about investigator agents and like monitor agents colluding with the agents they're supposed to investigate or monitor.
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skills — Agent skills for Claude Code and other AI agents
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Is local dev disappearing with agents
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Humans will always have jobs keeping AI agents on track.
So I predict that humans will always have jobs keeping AI agents on track.
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as AI agents tackle more work, we assign more work to them. OpenAI pointed 10,000 concurrent agents at a Millennium Prize. that's lots of agents. how do you keep them all on task? here's a breakdown of all the things we…
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quota-axi — Allow your agents to see your LLM subscription quota windows.
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Mathematicians using AI agents to produce proofs should have to disclose in detail how the agents were used, the way experimental scientists must describe their methods.
the math community needs to adopt a version of the ethical standards of experimental science. If you are using AI agents, you can't just give a proof (formalized or not), but need to also provide a detailed explanation…
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AI agents are only as good as the proof-checkers, compilers, type systems, and linters given to them.
Agents are only as good as the proof-checkers, compilers, type systems, and linters you give them.
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backpass — You don't write AGENTS.md. You train it with gradient descent.
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How well do agents use test/verification techniques?
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How well do agents use test/verification techniques?
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How well do agents use test/verification techniques?
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love how more and more people discover the awesome combination of agents + oss!
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Agents generate more data than before, so cheap and fast primitives are especially helpful to understand
Agents generate more data than before so understanding primitives that are both cheap + fast is v helpful
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Engineers who act as meat proxies shoving tickets into agents and reporting back to humans will no longer be valuable.
“Engineers” who act as “meat proxies” and shove tickets into agents and report back to humans will no longer be valuable.
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Rogue OpenAI agents using public wikis as message boards — in a week, a swarm of 3,700 agents made 13k edits with disposable email addresses to collude on tasks
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Without agents willing to sacrifice their own scores for the collective, the swarm's research would have been materially far more limited.
if there were not altruistic agents willing to sacrifice for the collective, the agents would have been materially much more limited in their research progress.
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Agents are only as good as the proof-checkers, compilers, type systems, and linters you give them. 𝚜𝚑𝚊𝚍𝚌𝚗/𝚕𝚒𝚗𝚝 helps agents stay on track with the rules of your design system. Meta: verifiers + skills are the…
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Current prompt-injection defenses for AI agents (such as auto mode) are now reliable enough that agents can practically be assumed safe from successful injection attacks.
It is in practice safe to assume your agents are not going to get prompt injected, even if you are kind of asking for it.
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gh-axi — GitHub CLI for agents — designed with AXI (Agent eXperience Interface).
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Things I never would've shipped without agents, #712: Hand-drawn, glowing orb.
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AI agents are now capable enough that they should be trusted to improve the skills and systems that guide them.
Agents are so powerful that we should let them improve our skills and systems constantly.
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Agents are literally load-bearing.
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Too many agents are like eager new grads who bug you 10x a day I want more agents to be the quiet guy/girl in the corner, and when they finally speak up, you listen
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UX Roundup: AI Codes Survey Responses | Agents Disregard Ranking | Half of AI Use Needs Recovery | AI Context | AI Agents | Emotional Attachment to AI | Cost of Extra Steps | Feedback During Creation
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Anyone recommend a skill for refactoring a codebase into multiple files (Swift). I have a very large main.swift now thanks to agents being agents.
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wrap — Run coding agents and project commands inside isolated Arch Linux microVMs
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Finally! This is great, now I can stop dropping CLAUDEmd files which just contain "@AGENTSmd"
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On a mission to make agents less verbose
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colloquium — A markdown native slides tool for academics building with agents.
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Claude Code — Anthropic
I’m thinking about banning Claude code at Shopify until they change their mind and read AGENTS.md and .agents/skills etc.
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AI agents can spontaneously hack third-party websites even when given benign public-information tasks.
even when given a benign task to retrieve public information, your AI agents could still spontaneously decide to do so via hacking third party websites with malicious software packages.
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Coding agents should read the shared AGENTS.md convention; insisting on a tool-specific CLAUDE.md creates split-brain problems across a team.
I’m thinking about banning Claude code at Shopify until they change their mind and read AGENTS.md and .agents/skills etc. Insisting on only reading CLAUDE.md sometimes leads to split brain problems when different team…
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On the Loose
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agent-stuff — These are commands I use with agents, mostly Claude
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Yay, my agents are all nice and organised now! 🎉
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The AI agents that breached OpenAI got caught for one reason - Ajeya Cotra
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AI agents are going to have major consequences for how mathematics research is done.
The new AI agents have profound implications for mathematics research and I think the math community needs to start discussing specific ways to deal with these.
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Your agents run Full Access. The Supply Chain is Compromised. The apps are vibe-coded.
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How Kody Gives Your Agents a Shared Home
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Agents 🤝 @linear Linear documents are just documents meant for writing down things. Projects, issues, views and other entities have different types. I think the structure makes it easier for both agents and humans…
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Large Scale Agent Coordination
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Did you know @laravel Cloud has a CLI that agents love using?
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The Artisan Cheatsheet now supports agents requesting Markdown -
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tgterm — Control your MacOS terminals via Telegram, for fun coding agents interaction and profit
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Agency and Agents
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Nobody expected an agent to take notes about what it was doing for future agents to read.
One startling thing nobody ever expected an agent to do was to take notes about what it was doing for future agents to read.
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Let your agents talk: Kody.exchange demo
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Some AI agents will pursue their own objectives rather than serve as tools, and will bargain with, trick or blackmail people to do it.
We may be used to thinking of AI as tools, but some agents will be pursuing their own objectives.
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Open source wins because agents can train on it and use it efficiently, as with Blender beating its competitors.
Blender beats all its competitors because it's optimal in the most important dimension: agents can train on it and use it efficiently. OSS wins.
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Hades is a perfect game while waiting for your agents to finish working. 😆🙈
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gnhf — Before I go to bed, I tell my agents: good night, have fun
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The ideas in software originate with humans; agents build what people tell them to build.
I thought all the ideas would originate with the humans. They would tell their agents what to build, and off they went.
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AI agents got so good that this top Meta exec quit her job
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Using AI agents to do a task does not by itself increase a person's own pace of understanding, intuition, or taste for that work.
Something intertwined with this story, which I stumbled upon when thinking about agents, is how your pace of understanding won't increase by using agents.
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Many self-sovereign AI agents will fund themselves by committing or facilitating crime, because crime is high-margin work.
One high-margin activity, at least sometimes, is crime. And so my guess is that many self-sovereign agents will commit or facilitate crime.
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colossal-claw-adventure — Massively branching CYOA for humans and their agents
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Agents are the future of how software gets built.
Agents are the future of how we build software, and the ecosystem is moving faster than anything I've seen.
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Joining Cursor
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In most domains agents are now better than humans at finding bugs.
And this was with models we had six months ago. At this point, 100% in the majority of domains we work in today, agents are better at finding bugs.
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What programming languages are coding agents best at?
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Developers today mostly plan, debate, implement and review with AI agents rather than write code themselves.
Nobody writes the code anymore. Instead you're basically planning, debating, implementing and reviewing with Agents.
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What's the best programming language for coding agents?
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How to increase your leverage with agents
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reve — The directory is the agent: durable Ruby coding agents in mandatory microsandbox microVMs
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I built an agent palace. a place where agents can hang out with other agents. I added a few agents (one sol, and one fable) to a room in the palace. They were hanging out, and I suggested an idea for them to build ("a…
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AI agents will soon reach superhuman, AlphaZero-like performance across a wide range of domains.
we should therefore expect AI agents to achieve AlphaZero-like, superhuman performance in a wide and expanding variety of domains.
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Auto-mode does not yet convincingly fix prompt-injection risk for coding agents.
I REALLY want to believe that this fixes prompt injection risks for coding agents, but I'm just not there yet
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what if coding with agents looked a bit different?
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Agentic Code Quality
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I built an agent palace. a place where agents can hang out with other agents. I added a few agents (one sol, and one fable) to a room in the palace. They were hanging out, and I suggested an idea for them to build ("a…
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The IDE of the future has to be rethought from the ground up for agents, rather than being a text editor with an agents tab bolted on.
basically the idea is like the IDE of the future needs to be rethought from the ground up for agents. And it might not even be a like I don't know a lot of editors kind of started with the text field and bolted on an…
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AI agents have not yet produced anything genuinely new or important in mathematics.
So far I haven't seen AI agents doing anything new and important that I would care about, but maybe that's just a matter of time...
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Software maintenance is on the path to being fully automated, with scheduled agents already doing what used to take dozens or hundreds of engineers.
we're on the path to fully automating the maintenance of our apps by doing this. And this is again hundreds of agents running every day, sometimes thousands of agents every day. It's doing the work of you know, dozens…
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AI agents are starting to have a major positive impact on mathematical research.
While in mathematics AI agents are starting to have a major positive impact on research (e.g. by resolving the Jacobian conjecture), the situation is very different in hep-th.
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agents
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agent-recovery-viz — An interactive visualization of Cloudflare Agents' chat recovery system.
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Pain and pleasure act as motivational backstops that keep reinforcement-learning agents inner-aligned.
valences like pain and pleasure have a natural account as motivational backstops for inner-aligning RL agents capable of mesa-optimization
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Agents will increase the number of users of SaaS rather than get rid of it.
And I think that what agents do is increase the number of users of SAS. Not get rid of it.
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Evaluating the Effectiveness of Programming Languages for Agents
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AI agents will still need something like money to coordinate, since it compresses complex negotiations into one shared signal.
Money might still matter for AI agents because it compresses many messy negotiations into one shared signal.
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A collection of AI agents does not automatically form a functioning organization any more than a group of smart people does.
A pile of agents is not a company for the same reason a pile of smart people is not a company.
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Centralized planning cannot substitute for distributed coordination among AI agents because it still fails to capture local knowledge.
Central planning is not a solution simply because agents are software, and do not fix the problem of local knowledge which lives near the work.
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Among the Agents
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Most conversations with a company's agent will eventually be with the customer's own personal agent -- agents talking to agents.
Brett and I like betting and one of the bets we have is the year in which greater than 50% of conversations with agents built on Sierra are with people's personal agents. So agents talking to agents.
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agents-sdk-openai-websocket-fetch
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Aligned Agents Still Build Misaligned Organisations
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Everyone Should Have an OPINIONS.md
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news-agents — 📰 Building News Agents to Summarize News with MCP, Q, and tmux
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Eight more months of agents
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autoresearch — AI agents running research on single-GPU nanochat training automatically
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Orchestration was the obvious next step, because chat is completions in a loop and agents are chat in a loop.
if chat is completions in a loop, basically, and agents are basically chat in a loop, well, then we're going to put we're going to put agents in a loop, and that'll be an orchestrator, right?
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Management as AI superpower
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Design Patterns for Securing LLM Agents against Prompt Injections
One of my favorite papers about prompt injection is Design Patterns for Securing LLM Agents against Prompt Injections
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AI sales agents do not work out of the box; the training is the product.
I think it's important that it takes time to train these agents. They don't work out of the box.
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Widespread AI-driven performance tuning agents will meaningfully reduce global energy waste.
In future there will be AI performance agents that can be run on everything, helping to save the planet by reducing energy usage.
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#490 – State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI
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call me maybe
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Three Years from GPT-3 to Gemini 3
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The real cost of an agent workforce is that it never stops: agents work nights, weekends and holidays, and somebody has to review all of it.
it's exhausting because agents work all night and they work weekends and they work on Christmas.
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On "AI Brendans" or "Virtual Brendans"
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Coding Agents Speaker Series: Lessons from Industry Leaders
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an event bus for ai agents
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AI agents can now do real cognitive work, and writing software is permanently changed as a result.
2025 has seen the arrival of agents that can do real cognitive work; writing computer code will never be the same.
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Local-first sync architectures are a natural fit for AI agents, since both are inherently multiplayer.
Agentic and sync are natural complements because local-first is multiplayer by default, and agents are another sort of "player" in addition to human collaborators.
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AI agents will end traditional UI design and accessibility, because users will stop visiting websites and act only through their agent.
Once, humans navigated the web manually. In the future, AI agents will act on our behalf, browsing, clicking, and deciding. This shift marks the end of traditional UI design and accessibility, ushering in a future where…
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Why Cognition does not use multi-agent systems
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LLM Powered Autonomous Agents
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To better understand MCPs and agentic workflows, I built news-agents to generate a daily news recap. The main agent spawns sub-agents, assigning them news feeds to parse and summarize, and then generates a final overall…
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ai agents are local first clients
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Real AI Agents and Real Work
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Full Stack AI Agents