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← Line-by-line code review has become an outdated ritual: senior…
17 connected korrents · 17 moments on record from 17 Oct 2025 to 3 Sept 2026.
Everything filed under AI writing
AI writing
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coding agents
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Anthropic
Everything filed under software quality
software quality 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subject Same subject Same subject Same subject Same subject Read this korrent: Line-by-line code review has become an outdated ritual: senior engineers should be giving feedback on how their team instructs AI, not on the code AI wrote. Line-by-line code review has become an outdated ritual: senior engineers should be giving feedback on how their team instructs AI, not on the code AI wrote. Last stated 5 months ago
29 Mar 2026
CH
Chip Huyen — holds since 2026-03-29 — tap for who they are
Same subject: Review became a worse bottleneck under AI, because companies removed the review automation they had once AI started writing the code. — tap to centre the map on it Review became a worse bottleneck under AI, because companies removed the review automation they had once AI started writing the code. Last stated 6 months ago
22 Mar 2026
NF
Nicole Forsgren — holds since 2026-03-22 — tap for who they are
Same subject: The AI coding tools only recently became good enough to change the answer: after years of hating them, most of this codebase is now written by AI. — tap to centre the map on it The AI coding tools only recently became good enough to change the answer: after years of hating them, most of this codebase is now written by AI. Last stated 2 months ago
24 Jun 2026
NE
NeetCode — holds since 2026-06-24 — tap for who they are
Same subject: AI-validated pull requests beat human review at exactly the things humans are bad at, which frees the humans to argue about direction instead. — tap to centre the map on it AI-validated pull requests beat human review at exactly the things humans are bad at, which frees the humans to argue about direction instead. Last stated 4 weeks ago
12 Aug 2026
CM
Charity Majors — holds since 2026-08-12 — 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 11 months ago
17 Oct 2025
AK
Andrej Karpathy — holds since 2025-10-17 — 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 a month ago
30 Jul 2026
JD
Jeff Dean — holds since 2026-07-30 — tap for who they are
Same subject: Predicting that AI would write 90% of the code was never a prediction that we would need 90% fewer software engineers. — tap to centre the map on it Predicting that AI would write 90% of the code was never a prediction that we would need 90% fewer software engineers. Last stated 7 months ago
13 Feb 2026
DA
Dario Amodei — holds since 2026-02-13 — 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 2 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — 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 2 months ago
19 Jul 2026
ES
Elizabeth Stone — holds since 2026-07-19 — tap for who they are
Same subject: A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent. — tap to centre the map on it A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent. Last stated 2 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: AI-generated writing tends to repeat the same themes, names, and underlying ideas across different outputs. — tap to centre the map on it AI-generated writing tends to repeat the same themes, names, and underlying ideas across different outputs. Last stated a week ago
31 Aug 2026
EM
Ethan Mollick — holds since 2026-08-31 — tap for who they are
Same subject: AI-written code makes formal proof necessary, because human review of all that generated code becomes the bottleneck. — tap to centre the map on it AI-written code makes formal proof necessary, because human review of all that generated code becomes the bottleneck. Last stated 5 months ago
22 Apr 2026
MK
Martin Kleppmann — holds since 2026-04-22 — tap for who they are
Same subject: A coding agent does not learn from its mistakes the way a person does -- it repeats the same error indefinitely unless a human notices and writes it down. — tap to centre the map on it A coding agent does not learn from its mistakes the way a person does -- it repeats the same error indefinitely unless a human notices and writes it down. Last stated 5 months ago
25 Mar 2026
MZ
Mario Zechner — holds since 2026-03-25 — tap for who they are
Same subject: A coding-agent company should not train its own model: it has to stay neutral ground for models to compete on. — tap to centre the map on it A coding-agent company should not train its own model: it has to stay neutral ground for models to compete on. Last stated 4 days ago
3 Sept 2026
DR
Dax Raad — holds since 2026-09-03 — tap for who they are
Same subject: A machine can complete the task and completely miss the job -- coding makes this easy to see precisely because its tasks are so legible and verifiable. — tap to centre the map on it A machine can complete the task and completely miss the job -- coding makes this easy to see precisely because its tasks are so legible and verifiable. Last stated 3 weeks ago
14 Aug 2026
SP
Sunil Pai — holds since 2026-08-14 — 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 4 days ago
3 Sept 2026
DR
Dax Raad — holds since 2026-09-03 — tap for who they are
Same subject: A language model asked to summarize its own system prompt risks that prompt's content biasing the summary it produces. — tap to centre the map on it A language model asked to summarize its own system prompt risks that prompt's content biasing the summary it produces. Last stated 5 days ago
2 Sept 2026
SW
Simon Willison — holds since 2026-09-02 — tap for who they are
Same subject: A trust that owns the mission protects a company better than founder control does, which is why Anthropic needs no dual-class shares. — tap to centre the map on it A trust that owns the mission protects a company better than founder control does, which is why Anthropic needs no dual-class shares. Last stated 4 months ago
10 May 2026
ER
Eric Ries — holds since 2026-05-10 — tap for who they are
At the centre
Line-by-line code review has become an outdated ritual: senior engineers should be giving feedback on how their team instructs AI, not on the code AI wrote.
Holds CH Chip HuyenRead this korrent →
Review became a worse bottleneck under AI, because companies removed the review automation they had once AI started writing the code.
Holds NF Nicole Forsgren
The AI coding tools only recently became good enough to change the answer: after years of hating them, most of this codebase is now written by AI.
Holds NE NeetCode
AI-validated pull requests beat human review at exactly the things humans are bad at, which frees the humans to argue about direction instead.
Holds CM Charity Majors
Coding models are worst at exactly the thing an AI research explosion would need: code that has never been written before.
Holds
AI models have reached the level of a junior engineer on longer-running, agent-based coding tasks.
Holds JD Jeff Dean
Predicting that AI would write 90% of the code was never a prediction that we would need 90% fewer software engineers.
Holds DA Dario Amodei
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 DH Dex Horthy
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 ES Elizabeth Stone
A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent.
Holds GS Grant Sanderson
AI-generated writing tends to repeat the same themes, names, and underlying ideas across different outputs.
Holds EM Ethan Mollick
AI-written code makes formal proof necessary, because human review of all that generated code becomes the bottleneck.
Holds MK Martin Kleppmann
A coding agent does not learn from its mistakes the way a person does -- it repeats the same error indefinitely unless a human notices and writes it down.
Holds
A coding-agent company should not train its own model: it has to stay neutral ground for models to compete on.
Holds
A machine can complete the task and completely miss the job -- coding makes this easy to see precisely because its tasks are so legible and verifiable.
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 language model asked to summarize its own system prompt risks that prompt's content biasing the summary it produces.
Holds
A trust that owns the mission protects a company better than founder control does, which is why Anthropic needs no dual-class shares.
Holds ER Eric Ries