17 connected korrents · 15 moments from 30 Sept 2025 to 25 Oct 2026. Nearly all of them are about coding agents.
At the centre
Let a coding agent run what it builds end to end, read production logs, deploy, cut releases, triage bug reports and email customers.
Last stated 25 Oct 2026 · today
Holds
Thorsten Ball
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Similar wording
A developer using AI coding tools remains responsible for reviewing the code they ship.
Last stated 10 Mar 2026 · 8 months ago
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Jon Seager
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Similar wording
Agent-written code that runs and passes its tests is not enough: security, maintainability and being able to roll it back still need humans in the loop.
Last stated 7 Jun 2026 · 5 months ago
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Tony Fadell
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Similar wording
The code today’s models and agents write is very hard to follow: you get better performance without knowing why, and no way to fix it when it breaks.
Last stated 19 Jul 2026 · 3 months ago
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Elizabeth Stone
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Similar wording
A team can stop reading the code it ships, but only by first working out how its agents are to prove that what they wrote actually works.
Last stated 19 Mar 2026 · 7 months ago
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Simon Willison
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Similar wording
AI coding agents work best with the same general-purpose tools built for humans, such as git and file utilities, rather than agent-specific interfaces.
Last stated 30 Sept 2025 · a year ago
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Harper Reed
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Similar wording
AI coding works when a person owns the architecture and scopes the agent to small pieces of it, and fails when the whole thing is handed over.
Last stated 7 Jun 2026 · 5 months ago
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Tony Fadell
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Similar wording
Rather than iterating back and forth with an agent, have it build tools to iterate: many variations at once, several theories checked together.
Last stated 25 Oct 2026 · today
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Thorsten Ball
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Similar wording
Asked to find a deep bug, coding agents can patch many small issues that feel like progress while steering you away from the real problem; there is still no substitute for expertise.
Last stated 5 Aug 2026 · 3 months ago
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Ben Vinegar
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Same subject: code generation
A model can now port essentially any codebase from one programming language to another, work that used to take a team over a year.
Last stated 27 Jul 2026 · 3 months ago
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Boris Cherny
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Same subject: code generation
A strong manual coding background helps developers spot algorithmic weaknesses and flaws in generated code.
Last stated 15 Oct 2026 · a week ago
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Adam Tornhill
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Same subject: code generation
AI acceleration threatens 'less software': without the constraint of scarce hours, even 37signals will likely build too much.
Last stated 26 Jul 2026 · 3 months ago
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David Heinemeier Hansson
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Same subject: Anthropic
A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year.
Last stated 3 Sept 2026 · 2 months ago
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Dax Raad
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Same subject: Anthropic
A skill is a set of repeatable, specific instructions that augments what Claude Code can do.
Last stated 19 Mar 2026 · 7 months ago
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Kris Puckett
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Same subject: Anthropic
A story's quality depends on whether it engages and satisfies the reader, not on the tool used to write it.
Last stated 30 Aug 2026 · 2 months ago
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Eliot Peper
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Same subject: LLMs
A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI.
Last stated 1 Jan 2026 · 10 months ago
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Jason Lemkin
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Same subject: LLMs
A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to.
Last stated 15 Jul 2026 · 3 months ago
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Dex Horthy
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Same subject: LLMs
A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls.
Last stated 17 Sept 2026 · a month ago
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Patrick Collison