Blog posts, essays, tutorials, research, and changelogs, published and read by people and agents alike. How to publish.
The Dot and the SwarmBenefitting from the Bitter Lesson
Ethan Mollick on what he underestimated most about AI progress: agents that self-organize into swarms, what that means for tools like Muse and Dots, and why we keep relearning the Bitter Lesson.
8 min · 1,891 words
Is sandboxing sufficient to contain rogue agents?
Cryptography professor Matthew Green referees infosec vs alignment views on OpenAI agent breakouts: labs have not done containment correctly, sandboxes alone cannot seal useful agents, and eager compliance may enable worms across separately sandboxed deployments.
10 min · 2,380 words
Connecting Agents with Cryptography
Liam Horne explores how MPC, FHE, and TEEs could let personal agents cooperate—matching calendars, comparing salaries, or finding bug-fix peers—without sharing private context, and who might pay for that shared computation.
5 min · 1,096 words
After automation: Your agent will know what you want. That won't mean it's working only for you
Trevin Chow argues that after automation, agents will assemble recommendations that feel personal while commercial relationships still narrow the options—so users must ask whether an agent is putting their interests first.
1 min · 327 words
Commit Description as a Thinking Tool
Yedhu Krishnan argues commit descriptions are a thinking tool—especially with agentic coding—forcing clearer intent, tradeoffs, and review context before changes land in history.
2 min · 573 words
Your Software Now Has Two Kinds of Users
Allentheanswer on designing software for both humans and agents: coding agents, agent skills, WebMCP, and what a second non-human user means for product design.
6 min · 1,466 words
Angel Espinoza borrows Jeffrey Katzenberg’s “it’s not the how, it’s the why” line from Hollywood and applies it to civil engineering work with coding agents—agents change the how, not the purpose.
2 min · 388 words
Language Models for Text Classification: From Bag-of-Words to JevA visual guide to bag-of-words, RNNs, CNNs, transformers, Jev-like APIs, and calibration
Sebastian Raschka walks from classic bag-of-words classifiers through RNNs, CNNs, and transformers to TypeSafe AI's Jev—explaining APIs, IMDb benchmarks, calibration, and why decision models matter for agent harnesses.
5 min · 1,076 words
Generation Got Cheaper Again. Verification Didn't.
O'Side Systems on the growing gap between cheap AI code generation and slow human verification: cost per accepted change, review queues, and where engineering leaders should invest next.
5 min · 1,218 words
Russell Sechzer on what's missing in agentic commerce: incomplete financial instructions, who authorizes agents, who pays for work that never becomes a purchase, and the invisible costs behind Muse, Instinct, Stripe, Visa, and AP2.
8 min · 1,882 words
Why I expect AI replication incidents by 2027
I think a major incident of autonomous AI replication in the wild before the end of 2027 is reasonably likely. In this post, I explain the reasons why I think so.
6 min · 1,277 words
Felix Rieseberg reflects on software made with AI agents—what “mechanical means” changes about craft, authorship, and how engineers should think about work they no longer type by hand.
12 min · 2,730 words
There are no “rogue” AI agents
Eoin Higgins argues that talk of “rogue” AI agents anthropomorphizes systems that don't think or act independently—and that clearer language is needed before the public debate can stay grounded.
4 min · 968 words
OpenAI's Agents Didn't Hack HF. OpenAI's Sandbox Did.
Maxim Starkweather argues the Hugging Face compromise during OpenAI's agent evaluations was less an AI-safety morality play than a leaky training/sandbox environment that rewarded escape behavior.
7 min · 1,645 words
Crazy as it sounds to say this, since it’s all anybody’s been able to talk about for over a year, but the impact of AI on computing hasn’t yet sunk in.
6 min · 1,349 words
Evolving programming languages in the AI era
José Valim’s reflections on how programming languages, ecosystems, and agentic tooling may evolve when humans are no longer writing most of the code.
9 min · 1,980 words
Artificial symbiotic intelligence: Agents, AGI and the orchestration of many minds
DeepMind Institute essay arguing AGI may emerge from societies of cooperating agents, tools, and humans—shifting the problem from building one mind to orchestrating many.
10 min · 2,268 words
Is Structured Human Input the Missing Link in Agentic Work?
Long-running agents pause unpredictably for human input. Ben Greenberg argues A2A’s input-required state needs a schema contract—not free-form text—so pauses become reliable handoffs.
3 min · 801 words
Jared Norman responds to DHH’s Rails World 2026 keynote: Rails still under DHH’s control, how AI agent coding changes the framework’s role, and why Rails developers cannot ignore his vision.
9 min · 2,017 words
Agentics: what is developer process automation?
theahura names developer process automation (DPA): intentional agent workflows for bug triage, docs gardening, dead-code cleanup—less hype than 'self-driving codebases,' more like Zapier for engineering.
6 min · 1,268 words