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← Coding models give AI research a 15 to 20% total-factor speedup today, up from about 5% six months ago.
17 connected korrents · 18 moments from 16 Dec 2024 to 22 Sept 2026.
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coding agents Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Read this korrent: Coding models give AI research a 15 to 20% total-factor speedup today, up from about 5% six months ago. Coding models give AI research a 15 to 20% total-factor speedup today, up from about 5% six months ago. Last stated 8 months ago
13 Feb 2026
DA
Dario Amodei — holds since 2026-02-13 — tap for who they are
Same subject: The AI research cycle from idea to experiment will likely soon be 10x faster, but that may not make researchers 10x more productive in the field's net understanding. — tap to centre the map on it The AI research cycle from idea to experiment will likely soon be 10x faster, but that may not make researchers 10x more productive in the field's net understanding. Last stated 4 weeks ago
22 Sept 2026
NL
Nathan Lambert — holds since 2026-09-22 — tap for who they are
Same subject: AI models are not yet capable of producing great code — tap to centre the map on it AI models are not yet capable of producing great code Last stated 2 years ago
16 Dec 2024
DH
David Heinemeier Hansson — holds since 2024-12-16 — tap for who they are
Same subject: Coding models are worst at exactly the thing an AI research explosion would need: code that has never been written before. — tap to centre the map on it Coding models are worst at exactly the thing an AI research explosion would need: code that has never been written before. Last stated a year ago
17 Oct 2025
AK
Andrej Karpathy — holds since 2025-10-17 — tap for who they are
Same subject: Before product-market fit, coding faster does not help: it is better to think a lot than to swing a lot, and AI does not speed up the thinking. — tap to centre the map on it Before product-market fit, coding faster does not help: it is better to think a lot than to swing a lot, and AI does not speed up the thinking. Last stated 5 months ago
27 May 2026
DR
Dax Raad — holds since 2026-05-27 — tap for who they are
Same subject: AI capability progress in a given skill tends to arrive as a sudden phase change rather than as steady improvement. — tap to centre the map on it AI capability progress in a given skill tends to arrive as a sudden phase change rather than as steady improvement. Last stated 2 months ago
24 Aug 2026
JC
Jack Clark — holds since 2026-08-24 — tap for who they are
Same subject: AI models have reached the level of a junior engineer on longer-running, agent-based coding tasks. — tap to centre the map on it AI models have reached the level of a junior engineer on longer-running, agent-based coding tasks. Last stated 3 months ago
30 Jul 2026
JD
Jeff Dean — holds since 2026-07-30 — tap for who they are
Same subject: 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. — tap to centre the map on it 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 3 months ago
19 Jul 2026
ES
Elizabeth Stone — holds since 2026-07-19 — tap for who they are
Same subject: A deliberately slower pace of AI model releases would still feel faster than the pace of AI improvement that came before it. — tap to centre the map on it A deliberately slower pace of AI model releases would still feel faster than the pace of AI improvement that came before it. Last stated a month ago
14 Sept 2026
BH
Byrne Hobart — holds since 2026-09-14 — tap for who they are
Same subject: A model can now port essentially any codebase from one programming language to another, work that used to take a team over a year. — tap to centre the map on it 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 3 months ago
27 Jul 2026
BC
Boris Cherny — holds since 2026-07-27 — tap for who they are
Same subject: AI acceleration threatens 'less software': without the constraint of scarce hours, even 37signals will likely build too much. — tap to centre the map on it AI acceleration threatens 'less software': without the constraint of scarce hours, even 37signals will likely build too much. Last stated 3 months ago
26 Jul 2026
DH
David Heinemeier Hansson — holds since 2026-07-26 — tap for who they are
Same subject: AI code generation's default reward loop works like a slot machine and undermines skill retention. — tap to centre the map on it AI code generation's default reward loop works like a slot machine and undermines skill retention. Last stated 5 months ago
28 May 2026
VB
Vicki Boykis — holds since 2026-05-28 — tap for who they are
Same subject: AI-assisted coding will generate a lot of low-quality output that developers will need to clean up, even as it also produces good results. — tap to centre the map on it AI-assisted coding will generate a lot of low-quality output that developers will need to clean up, even as it also produces good results. Last stated 8 months ago
9 Feb 2026
SH
Scott Hanselman — holds since 2026-02-09 — tap for who they are
Same subject: AI-generated code should be treated as untrusted until there is evidence it preserves the intended behavior. — tap to centre the map on it AI-generated code should be treated as untrusted until there is evidence it preserves the intended behavior. Last stated 2 months ago
19 Aug 2026
JS
Jon Seager — holds since 2026-08-19 — tap for who they are
Same subject: As AI makes it easier to generate code, teams must delete code more aggressively or be overwhelmed by accumulated complexity. — tap to centre the map on it As AI makes it easier to generate code, teams must delete code more aggressively or be overwhelmed by accumulated complexity. Last stated 2 months ago
1 Sept 2026
VB
Vicki Boykis — holds since 2026-09-01 — tap for who they are
Same subject: AI coding tools perform better on greenfield projects than on existing codebases, though the advantage is smaller than commonly assumed. — tap to centre the map on it AI coding tools perform better on greenfield projects than on existing codebases, though the advantage is smaller than commonly assumed. Last stated 9 months ago
22 Jan 2026
SK
Steve Klabnik — holds since 2026-01-22 — tap for who they are
Same subject: AI coding tools remove the natural filter that slow, effortful building placed on which ideas actually get built. — tap to centre the map on it AI coding tools remove the natural filter that slow, effortful building placed on which ideas actually get built. Last stated 4 months ago
17 Jun 2026
ES
Elio Struyf — holds since 2026-06-17 — tap for who they are
Same subject: AI tools are now highly effective at generating UI code from a rough natural-language description — tap to centre the map on it AI tools are now highly effective at generating UI code from a rough natural-language description Last stated 7 months ago
7 Apr 2026
CW
Chris Wellons — holds since 2026-04-07 — tap for who they are
At the centre
Coding models give AI research a 15 to 20% total-factor speedup today, up from about 5% six months ago.
Holds Read this korrent →
The AI research cycle from idea to experiment will likely soon be 10x faster, but that may not make researchers 10x more productive in the field's net understanding.
Holds
AI models are not yet capable of producing great code
Holds
Coding models are worst at exactly the thing an AI research explosion would need: code that has never been written before.
Holds
Before product-market fit, coding faster does not help: it is better to think a lot than to swing a lot, and AI does not speed up the thinking.
Holds
AI capability progress in a given skill tends to arrive as a sudden phase change rather than as steady improvement.
Holds
AI models have reached the level of a junior engineer on longer-running, agent-based coding tasks.
Holds
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.
Holds
A deliberately slower pace of AI model releases would still feel faster than the pace of AI improvement that came before it.
Holds
A model can now port essentially any codebase from one programming language to another, work that used to take a team over a year.
Holds
AI acceleration threatens 'less software': without the constraint of scarce hours, even 37signals will likely build too much.
Holds
AI code generation's default reward loop works like a slot machine and undermines skill retention.
Holds
AI-assisted coding will generate a lot of low-quality output that developers will need to clean up, even as it also produces good results.
Holds
AI-generated code should be treated as untrusted until there is evidence it preserves the intended behavior.
Holds
As AI makes it easier to generate code, teams must delete code more aggressively or be overwhelmed by accumulated complexity.
Holds
AI coding tools perform better on greenfield projects than on existing codebases, though the advantage is smaller than commonly assumed.
Holds
AI coding tools remove the natural filter that slow, effortful building placed on which ideas actually get built.
Holds
AI tools are now highly effective at generating UI code from a rough natural-language description
Holds