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← AI-validated pull requests beat human review at exactly the things…
17 connected korrents · 17 moments on record from 3 Feb 2025 to 3 Sept 2026.
Everything filed under coding agents
coding agents
Everything filed under MCP
MCP
Everything filed under reinforcement learning
reinforcement learning
Everything filed under design
design
Everything filed under Anthropic
Anthropic 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: AI-validated pull requests beat human review at exactly the things humans are bad at, which frees the humans to argue about direction instead. 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: 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: Humans keep their place in AI as judges rather than authors, because telling which of two answers is better is far easier than writing a good one. — tap to centre the map on it Humans keep their place in AI as judges rather than authors, because telling which of two answers is better is far easier than writing a good one. Last stated 2 years ago
3 Feb 2025
NL
Nathan Lambert — holds since 2025-02-03 — tap for who they are
Same subject: Line-by-line code review has become an outdated ritual: senior engineers should be giving feedback on how their team instructs AI, not on the code AI wrote. — tap to centre the map on it Line-by-line code review has become an outdated ritual: senior engineers should be giving feedback on how their team instructs AI, not on the code AI wrote.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: Current AI models are worse colleagues than humans, because they routinely imply they did a task they did not actually do. — tap to centre the map on it Current AI models are worse colleagues than humans, because they routinely imply they did a task they did not actually do. Last stated 4 weeks ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: There is essentially no cognitive task humans do where AI improvement is failing to transfer at all. — tap to centre the map on it There is essentially no cognitive task humans do where AI improvement is failing to transfer at all. Last stated 4 weeks ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: What AI has exposed is a shortfall of effort and caring, not of intelligence: people who cannot say why they moved a button never thought about it. — tap to centre the map on it What AI has exposed is a shortfall of effort and caring, not of intelligence: people who cannot say why they moved a button never thought about it. Last stated 2 months ago
24 Jun 2026
NE
NeetCode — holds since 2026-06-24 — tap for who they are
Same subject: The skill that matters now is not prompt engineering but giving a model a way to verify its own work, and it is the thing people most often get wrong. — tap to centre the map on it The skill that matters now is not prompt engineering but giving a model a way to verify its own work, and it is the thing people most often get wrong. Last stated a month ago
27 Jul 2026
BC
Boris Cherny — holds since 2026-07-27 — tap for who they are
Same subject: No person learns the way RL does: a human reviews which parts of an attempt were good instead of rewarding every step of a lucky one. — tap to centre the map on it No person learns the way RL does: a human reviews which parts of an attempt were good instead of rewarding every step of a lucky one. Last stated 11 months ago
17 Oct 2025
AK
Andrej Karpathy — holds since 2025-10-17 — 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: AI agents and AI coding will run on servers and from the cloud first, not on your laptop. — tap to centre the map on it AI agents and AI coding will run on servers and from the cloud first, not on your laptop. Last stated 2 months ago
28 Jun 2026
PL
Pieter Levels — holds since 2026-06-28 — tap for who they are
Same subject: Anthropic pulling Claude subscriptions from third-party harnesses like OpenCode is a mistake: playing a single match in a game of many rounds. — tap to centre the map on it Anthropic pulling Claude subscriptions from third-party harnesses like OpenCode is a mistake: playing a single match in a game of many rounds. Last stated 5 months ago
8 Apr 2026
DH
David Heinemeier Hansson — holds since 2026-04-08 — tap for who they are
Same subject: Coding agents should read the shared AGENTS.md convention; insisting on a tool-specific CLAUDE.md creates split-brain problems across a team. — tap to centre the map on it Coding agents should read the shared AGENTS.md convention; insisting on a tool-specific CLAUDE.md creates split-brain problems across a team. Last stated 2 weeks ago
25 Aug 2026
TL
Tobias Lütke — holds since 2026-08-25 — tap for who they are
Same subject: MCP may turn out to be a one-year wonder, because coding agents that can run arbitrary shell commands make Bash the best general-purpose tool interface. — tap to centre the map on it MCP may turn out to be a one-year wonder, because coding agents that can run arbitrary shell commands make Bash the best general-purpose tool interface. Last stated 8 months ago
31 Dec 2025
SW
Simon Willison — holds since 2025-12-31 — tap for who they are
Same subject: Every tool is better as a CLI than as an MCP server: models are good at Unix commands, a CLI composes with jq, and MCP output clutters the context. — tap to centre the map on it Every tool is better as a CLI than as an MCP server: models are good at Unix commands, a CLI composes with jq, and MCP output clutters the context. Last stated 7 months ago
12 Feb 2026
PS
Peter Steinberger — holds since 2026-02-12 — tap for who they are
Same subject: MCP is not a new foundation for anything — it is API design, and Kubernetes was already turning one intention into seven calls a decade ago. — tap to centre the map on it MCP is not a new foundation for anything — it is API design, and Kubernetes was already turning one intention into seven calls a decade ago. Last stated 3 months ago
3 Jun 2026
KH
Kelsey Hightower — holds since 2026-06-03 — tap for who they are
At the centre
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 MajorsRead 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
Humans keep their place in AI as judges rather than authors, because telling which of two answers is better is far easier than writing a good one.
Holds NL Nathan Lambert
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 Huyen
Current AI models are worse colleagues than humans, because they routinely imply they did a task they did not actually do.
Holds RG Ryan Greenblatt
There is essentially no cognitive task humans do where AI improvement is failing to transfer at all.
Holds RG Ryan Greenblatt
What AI has exposed is a shortfall of effort and caring, not of intelligence: people who cannot say why they moved a button never thought about it.
Holds NE NeetCode
The skill that matters now is not prompt engineering but giving a model a way to verify its own work, and it is the thing people most often get wrong.
Holds
No person learns the way RL does: a human reviews which parts of an attempt were good instead of rewarding every step of a lucky one.
Holds
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
AI agents and AI coding will run on servers and from the cloud first, not on your laptop.
Holds
Anthropic pulling Claude subscriptions from third-party harnesses like OpenCode is a mistake: playing a single match in a game of many rounds.
Holds
Coding agents should read the shared AGENTS.md convention; insisting on a tool-specific CLAUDE.md creates split-brain problems across a team.
Holds
MCP may turn out to be a one-year wonder, because coding agents that can run arbitrary shell commands make Bash the best general-purpose tool interface.
Holds
Every tool is better as a CLI than as an MCP server: models are good at Unix commands, a CLI composes with jq, and MCP output clutters the context.
Holds
MCP is not a new foundation for anything — it is API design, and Kubernetes was already turning one intention into seven calls a decade ago.
Holds KH Kelsey Hightower