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← Having the very best AI model and harness does not result in better or faster execution and can slow teams down
17 connected korrents · 17 moments from 21 Mar 2023 to 24 Sept 2026.
Everything filed under LLMs
LLMs
Everything filed under product management
product management
Everything filed under AI agents
AI agents
Everything filed under coding agents
coding agents
Everything filed under design
design
Everything filed under permitting
permitting 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: Having the very best AI model and harness does not result in better or faster execution and can slow teams down Having the very best AI model and harness does not result in better or faster execution and can slow teams down Last stated a month ago
19 Sept 2026
GO
Gergely Orosz — holds since 2026-09-19 — tap for who they are
Same subject: A team that slows down and reads every pull request and every line of code should expect only a 30 to 50 percent productivity lift from AI. — tap to centre the map on it A team that slows down and reads every pull request and every line of code should expect only a 30 to 50 percent productivity lift from AI. Last stated 4 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — 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: An AI coding factory combined with an old-style roadmap probably leads teams into the backlog, parity and churn traps at machine speed. — tap to centre the map on it An AI coding factory combined with an old-style roadmap probably leads teams into the backlog, parity and churn traps at machine speed. Last stated 2 months ago
10 Sept 2026
CV
Claire Vo — holds since 2026-09-10 — tap for who they are
Same subject: AI systems are better than humans at coordinating with each other, and they move much faster than humans do. — tap to centre the map on it AI systems are better than humans at coordinating with each other, and they move much faster than humans do. Last stated 2 months ago
31 Aug 2026
JC
Jack Clark — holds since 2026-08-31 — tap for who they are
Same subject: AI removes a bottleneck in product development only to move it, and the winning team is the one that finds the next bottleneck fastest and removes it. — tap to centre the map on it AI removes a bottleneck in product development only to move it, and the winning team is the one that finds the next bottleneck fastest and removes it. Last stated 2 months ago
10 Sept 2026
GC
Geoff Charles — holds since 2026-09-10 — tap for who they are
Same subject: An agent harness should be minimal and customizable, because models keep advancing and the harness has to be flexible enough to evolve with them. — tap to centre the map on it An agent harness should be minimal and customizable, because models keep advancing and the harness has to be flexible enough to evolve with them. Last stated 3 months ago
1 Aug 2026
KC
Kun Chen — holds since 2026-08-01 — tap for who they are
Same subject: Small product teams beat large ones for a reason that has nothing to do with AI: fewer people to coordinate means less design by committee. — tap to centre the map on it Small product teams beat large ones for a reason that has nothing to do with AI: fewer people to coordinate means less design by committee. Last stated 4 months ago
9 Jul 2026
AM
Adam Mosseri — holds since 2026-07-09 — tap for who they are
Same subject: For AI in regulated work, intelligence is not the bottleneck; permission and accountability are. — tap to centre the map on it For AI in regulated work, intelligence is not the bottleneck; permission and accountability are. Last stated 5 months ago
10 Jun 2026
SG
Sarah Guo — holds since 2026-06-10 — tap for who they are
Same subject: A place for stored project context that an AI platform can keep referencing is worth setting up. — tap to centre the map on it A place for stored project context that an AI platform can keep referencing is worth setting up. Last stated 5 months ago
9 Jun 2026
RG
Ron Goldin — holds since 2026-06-09 — tap for who they are
Same subject: AI model routing and evals are the same problem expressed in different ways. — tap to centre the map on it AI model routing and evals are the same problem expressed in different ways. Last stated 2 months ago
2 Sept 2026
AO
Ayo Omojola — holds since 2026-09-02 — tap for who they are
Same subject: AI models are now much more than text-to-code converters. — tap to centre the map on it AI models are now much more than text-to-code converters. Last stated a month ago
24 Sept 2026
TB
Thorsten Ball — holds since 2026-09-24 — tap for who they are
Same subject: An AI coding assistant's tendency to infer what a user means rather than exactly what they typed is both its greatest strength and the reason it is hard to trust. — tap to centre the map on it An AI coding assistant's tendency to infer what a user means rather than exactly what they typed is both its greatest strength and the reason it is hard to trust. Last stated 9 months ago
22 Jan 2026
SK
Steve Klabnik — holds since 2026-01-22 — tap for who they are
Same subject: An AI coding tool's competitive strength comes from its integration across the whole development platform, not from the underlying AI models it uses. — tap to centre the map on it An AI coding tool's competitive strength comes from its integration across the whole development platform, not from the underlying AI models it uses. Last stated 5 months ago
2 Jun 2026
ES
Elio Struyf — holds since 2026-06-02 — tap for who they are
Same subject: Any coding tool released in 2026 should include AI capabilities. — tap to centre the map on it Any coding tool released in 2026 should include AI capabilities. Last stated 3 months ago
12 Aug 2026
CC
Chris Coyier — holds since 2026-08-12 — tap for who they are
Same subject: A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. — tap to centre the map on it A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. Last stated 9 months ago
12 Feb 2026
AK
Andrej Karpathy — holds since 2026-02-12 — tap for who they are
Same subject: AI should be released iteratively rather than built in secret, because AI and surprise do not go together and the world needs time to adapt before it is under the gun. — tap to centre the map on it AI should be released iteratively rather than built in secret, because AI and surprise do not go together and the world needs time to adapt before it is under the gun. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected. — tap to centre the map on it An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected. Last stated 4 years ago
21 Mar 2023
BC
Bryan Caplan — holds since 2023-03-21 — tap for who they are
At the centre
Having the very best AI model and harness does not result in better or faster execution and can slow teams down
Holds Read this korrent →
A team that slows down and reads every pull request and every line of code should expect only a 30 to 50 percent productivity lift from AI.
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
An AI coding factory combined with an old-style roadmap probably leads teams into the backlog, parity and churn traps at machine speed.
Holds
AI systems are better than humans at coordinating with each other, and they move much faster than humans do.
Holds
AI removes a bottleneck in product development only to move it, and the winning team is the one that finds the next bottleneck fastest and removes it.
Holds
An agent harness should be minimal and customizable, because models keep advancing and the harness has to be flexible enough to evolve with them.
Holds
Small product teams beat large ones for a reason that has nothing to do with AI: fewer people to coordinate means less design by committee.
Holds
For AI in regulated work, intelligence is not the bottleneck; permission and accountability are.
Holds
A place for stored project context that an AI platform can keep referencing is worth setting up.
Holds
AI model routing and evals are the same problem expressed in different ways.
Holds
AI models are now much more than text-to-code converters.
Holds
An AI coding assistant's tendency to infer what a user means rather than exactly what they typed is both its greatest strength and the reason it is hard to trust.
Holds
An AI coding tool's competitive strength comes from its integration across the whole development platform, not from the underlying AI models it uses.
Holds
Any coding tool released in 2026 should include AI capabilities.
Holds
A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact.
Holds
AI should be released iteratively rather than built in secret, because AI and surprise do not go together and the world needs time to adapt before it is under the gun.
Holds
An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected.
Holds