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Burke Holland argues chat isn’t always the right interface for AI-assisted development, and walks through canvases as a more tangible UI for building with GitHub Copilot.
5 min · 1,250 words
A founder who built a desktop coding app around AI planning explains why plan mode collapsed as models got better at figuring out what to do while they work—and what replaces it.
9 min · 2,033 words
GitHub has not removed malicious imitation software after 3 weeks
A software vendor reports a malware-laced GitHub imitation of Easy Data Transform that sat for weeks after reports—until the post hit Hacker News and the page disappeared within minutes.
1 min · 306 words
Kate Broughton connects OpenAI’s misalignment disclosures to how we form children and machines—what constitutions, staged evaluation, and “following” might mean for raising capable systems.
10 min · 2,240 words
Does Georgism Work? Five Years Later
Lars Doucet revisits five years of Georgism evidence since the ACX book-review contest—land-value tax trials, YIMBY politics, and what new data say about whether taxing land works in practice.
36 min · 8,361 words
We’re gonna need a lot more mathematicians
[This is a guest post by Amit Sahai. This blog post was initially written in a different file format and converted using AI. — T.]
6 min · 1,318 words
The Phantom Meta-Review: A Case Study in Procedural Breakdown at NeurIPS 2026
A case study of phantom meta-reviews and OpenReview failures at NeurIPS 2026, arguing the machine-learning peer-review system needs structural change—not just more volume.
4 min · 819 words
Ed Zitron's AI prediction track record
Dan Luu audits Ed Zitron’s AI commentary against outcomes: which predictions held, which missed, and how to read media AI takes more carefully.
46 min · 10,673 words
Human labour is largely invisible to AI
Lennard Berger argues that AI models look strong on evals yet lag in economic impact because much real work depends on invisible human labour—context, coordination, and judgment that benchmarks miss.
7 min · 1,588 words
Glyph Lefkowitz argues open source is a web of ongoing relationships—not a one-way gift from maintainers to users—and asks who the community is really for.
23 min · 5,200 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
Robert O'Callahan resigns from Google over AI acceleration: chip-design tools that make models cheaper and faster, why the pace of change is too high, and what he plans next with Pernosco and rr.
6 min · 1,398 words
Michael Heap on why leaders asking for “reasonable explanations” can stall change: good stories aren’t fixes, process theater replaces outcomes, and trust depends on asking the right question instead of drowning in details.
4 min · 845 words
The darker side of being a doctor
Surgeon Dr Eric Levi writes about the hidden costs of medical training and practice—burnout, identity fusion with the role, and the quieter mental-health strains that resilience culture often papers over.
8 min · 1,797 words
Pencils Down, Eyes Open: A Rails Developer After Rails World
A longtime Rails developer sits with DHH’s Rails World keynote declaring the end of routine hand-coding—what feels lost, what might be gained, and how to stay useful when agents write the default path.
4 min · 998 words
Sunil Sadasivan on first-principles thinking for senior engineers working with AI agents: set experience aside long enough to see the problem clearly, then rebuild judgment on top of how agents actually work.
3 min · 624 words
What if AI goes well?The hopeful version, and what it'll take to get there.
Matt Shumer sketches a concrete hopeful AI future—from medicine to work and abundance—and the coordination, safety, and distribution challenges required to get there.
5 min · 1,114 words
China’s AI-safety trajectory is not necessarily a delayed version of America’s
Cheryl Wu argues that AI safety in China may follow a different path from the U.S.—shaped by different incidents, disclosure norms, and government responses—not merely a delayed copy of American debates.
6 min · 1,411 words
Drew DeVault argues that Hacker News’s culture follows from Y Combinator ownership, founder privileges, and a contested “apolitical” posture—using policy and history to explain why the site feels the way it does.
15 min · 3,522 words