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← Tests written by a model in the same context as the change are what…
17 connected korrents · 17 moments from 20 Oct 2018 to 24 Sept 2026.
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JavaScript Cannot both be true 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: Tests written by a model in the same context as the change are what find the bugs; the automated tests left behind are the lesser product. Tests written by a model in the same context as the change are what find the bugs; the automated tests left behind are the lesser product. Last stated a year ago
25 Aug 2025
PS
Peter Steinberger — holds since 2025-08-25 — tap for who they are
Cannot both be true: In an agent-written codebase the agent-written tests are equally untrustworthy; manually using the product is the only reliable measure of whether it works. — tap to centre the map on it In an agent-written codebase the agent-written tests are equally untrustworthy; manually using the product is the only reliable measure of whether it works. Last stated 7 months ago
25 Mar 2026
MZ
Mario Zechner — holds since 2026-03-25 — tap for who they are
Same subject: Modern AI models tend to write tests for every tiny change, even when those tests aren't useful. — tap to centre the map on it Modern AI models tend to write tests for every tiny change, even when those tests aren't useful. Last stated 4 weeks ago
24 Sept 2026
PS
Peter Steinberger — holds since 2026-09-24 — tap for who they are
Same subject: When debugging with AI it is easy to get stuck inside the model's search space, chasing its candidate fixes while the real answer sits in context only you have. — tap to centre the map on it When debugging with AI it is easy to get stuck inside the model's search space, chasing its candidate fixes while the real answer sits in context only you have. Last stated 5 months ago
2 Jun 2026
BV
Ben Vinegar — holds since 2026-06-02 — tap for who they are
Same subject: Agentic code review raises the floor but cannot be trusted, because the model reading the code is the same model that wrote it, and it will tell you the code is great. — tap to centre the map on it Agentic code review raises the floor but cannot be trusted, because the model reading the code is the same model that wrote it, and it will tell you the code is great. Last stated 3 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: Automatic context given to coding models should clear a high bar for accuracy and relevance, since more context makes them slower, costlier and more confused. — tap to centre the map on it Automatic context given to coding models should clear a high bar for accuracy and relevance, since more context makes them slower, costlier and more confused. Last stated 2 years ago
6 Oct 2024
MT
Michael Truell — holds since 2024-10-06 — tap for who they are
Same subject: In the future, humans will not find bugs in model-produced code in reasonable time and will only review system composition, not via PRs or line-by-line review. — tap to centre the map on it In the future, humans will not find bugs in model-produced code in reasonable time and will only review system composition, not via PRs or line-by-line review. Last stated a month ago
19 Sept 2026
TB
Thorsten Ball — holds since 2026-09-19 — tap for who they are
Same subject: When an AI writes bad code the thing to fix is the context it was given, not the code, because fixing the output adds no leverage. — tap to centre the map on it When an AI writes bad code the thing to fix is the context it was given, not the code, because fixing the output adds no leverage. Last stated a year ago
18 Aug 2025
BT
Bret Taylor — holds since 2025-08-18 — tap for who they are
Same subject: Good things happen when you do not test implementation details: tests written with the React and Vue testing libraries look almost identical. — tap to centre the map on it Good things happen when you do not test implementation details: tests written with the React and Vue testing libraries look almost identical. Last stated 8 years ago
20 Oct 2018
KD
Kent C. Dodds — holds since 2018-10-20 — tap for who they are
Same subject: A compiler that also serves an IDE has to be lazy and deferred throughout — a different way of building compilers from the one the textbooks teach. — tap to centre the map on it A compiler that also serves an IDE has to be lazy and deferred throughout — a different way of building compilers from the one the textbooks teach. Last stated 5 months ago
13 May 2026
AH
Anders Hejlsberg — holds since 2026-05-13 — tap for who they are
Same subject: A good tool raises the floor of what people can build without lowering the ceiling, and almost every tool quietly lowers the ceiling. — tap to centre the map on it A good tool raises the floor of what people can build without lowering the ceiling, and almost every tool quietly lowers the ceiling. Last stated a year ago
18 Sept 2025
TL
Tobias Lütke — holds since 2025-09-18 — tap for who they are
Same subject: A new API framework that ignores how existing apps were historically built undermines its own introduction — tap to centre the map on it A new API framework that ignores how existing apps were historically built undermines its own introduction Last stated 2 months ago
31 Aug 2026
CH
Craig Hockenberry — holds since 2026-08-31 — tap for who they are
Same subject: A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year. — tap to centre the map on it 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 2 months ago
3 Sept 2026
DR
Dax Raad — holds since 2026-09-03 — tap for who they are
Same subject: A skill is a set of repeatable, specific instructions that augments what Claude Code can do. — tap to centre the map on it A skill is a set of repeatable, specific instructions that augments what Claude Code can do. Last stated 7 months ago
19 Mar 2026
KP
Kris Puckett — holds since 2026-03-19 — tap for who they are
Same subject: A story's quality depends on whether it engages and satisfies the reader, not on the tool used to write it. — tap to centre the map on it A story's quality depends on whether it engages and satisfies the reader, not on the tool used to write it. Last stated 2 months ago
30 Aug 2026
EP
Eliot Peper — holds since 2026-08-30 — tap for who they are
Same subject: A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. — tap to centre the map on it A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. Last stated 10 months ago
1 Jan 2026
JL
Jason Lemkin — holds since 2026-01-01 — tap for who they are
Same subject: 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. — tap to centre the map on it 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 3 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: 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. — tap to centre the map on it 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 a month ago
17 Sept 2026
PC
Patrick Collison — holds since 2026-09-17 — tap for who they are
At the centre
Tests written by a model in the same context as the change are what find the bugs; the automated tests left behind are the lesser product.
Holds Read this korrent →
In an agent-written codebase the agent-written tests are equally untrustworthy; manually using the product is the only reliable measure of whether it works.
Holds
Modern AI models tend to write tests for every tiny change, even when those tests aren't useful.
Holds
When debugging with AI it is easy to get stuck inside the model's search space, chasing its candidate fixes while the real answer sits in context only you have.
Holds
Agentic code review raises the floor but cannot be trusted, because the model reading the code is the same model that wrote it, and it will tell you the code is great.
Holds
Automatic context given to coding models should clear a high bar for accuracy and relevance, since more context makes them slower, costlier and more confused.
Holds
In the future, humans will not find bugs in model-produced code in reasonable time and will only review system composition, not via PRs or line-by-line review.
Holds
When an AI writes bad code the thing to fix is the context it was given, not the code, because fixing the output adds no leverage.
Holds
Good things happen when you do not test implementation details: tests written with the React and Vue testing libraries look almost identical.
Holds
A compiler that also serves an IDE has to be lazy and deferred throughout — a different way of building compilers from the one the textbooks teach.
Holds
A good tool raises the floor of what people can build without lowering the ceiling, and almost every tool quietly lowers the ceiling.
Holds
A new API framework that ignores how existing apps were historically built undermines its own introduction
Holds
A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year.
Holds
A skill is a set of repeatable, specific instructions that augments what Claude Code can do.
Holds
A story's quality depends on whether it engages and satisfies the reader, not on the tool used to write it.
Holds
A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI.
Holds
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.
Holds
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.
Holds