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← What limits AI automating a workflow is how well the workflow is codified, not the underlying model
17 connected korrents · 14 moments on record from 30 Jun 2022 to 19 Sept 2026.
Everything filed under coding agents
coding agents
Everything filed under Anthropic
Anthropic
Everything filed under software quality
software quality
Everything filed under AI alignment
AI alignment
Everything filed under LLMs
LLMs
Everything filed under AI agents
AI agents
Everything filed under management
management
Everything filed under scaling laws
scaling laws 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: What limits AI automating a workflow is how well the workflow is codified, not the underlying model What limits AI automating a workflow is how well the workflow is codified, not the underlying model Last stated 6 days ago
15 Sept 2026
TT
Tomasz Tunguz — holds since 2026-09-15 — tap for who they are
Same subject: AI did not create the bottlenecks in software delivery; it threw gas on processes everybody already knew were weak. — tap to centre the map on it AI did not create the bottlenecks in software delivery; it threw gas on processes everybody already knew were weak. Last stated 6 months ago
22 Mar 2026
NF
Nicole Forsgren — holds since 2026-03-22 — tap for who they are
Same subject: The quality of the context given to an AI matters more than the model's inherent capability. — tap to centre the map on it The quality of the context given to an AI matters more than the model's inherent capability. Last stated 2 months ago
9 Jul 2026
TF
Tiago Forte — holds since 2026-07-09 — tap for who they are
Same subject: Having the very best AI model and harness does not result in better or faster execution and can slow teams down — tap to centre the map on it Having the very best AI model and harness does not result in better or faster execution and can slow teams down Last stated 2 days ago
19 Sept 2026
GO
Gergely Orosz — holds since 2026-09-19 — tap for who they are
Same subject: As AI agents take on bigger delegated tasks, the human bottleneck shifts to writing specs and reviewing output fast, hollowing out the middle of the work. — tap to centre the map on it As AI agents take on bigger delegated tasks, the human bottleneck shifts to writing specs and reviewing output fast, hollowing out the middle of the work. Last stated 5 months ago
3 May 2026
EY
Eugene Yan — holds since 2026-05-03 — tap for who they are
Same subject: Confidence in monitoring, not capability research, will become the binding constraint on AI progress. — tap to centre the map on it Confidence in monitoring, not capability research, will become the binding constraint on AI progress. Last stated 2 weeks ago
6 Sept 2026
JP
Jakub Pachocki — holds since 2026-09-06 — tap for who they are
Same subject: Economic growth from AI waits on change management, not on model capability: the work artifact and the workflow have to change first. — tap to centre the map on it Economic growth from AI waits on change management, not on model capability: the work artifact and the workflow have to change first. Last stated 10 months ago
12 Nov 2025
SN
Satya Nadella — holds since 2025-11-12 — tap for who they are
Same subject: AI model capability progress is not going to slow down soon — tap to centre the map on it AI model capability progress is not going to slow down soon Last stated 3 weeks ago
3 Sept 2026
AR
Armin Ronacher — holds since 2026-09-03 — tap for who they are
Same subject: How far AI systems are scaled must be constrained by how confident we are in their safety. — tap to centre the map on it How far AI systems are scaled must be constrained by how confident we are in their safety. Last stated 2 weeks ago
6 Sept 2026
JP
Jakub Pachocki — holds since 2026-09-06 — 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 6 months ago
25 Mar 2026
MZ
Mario Zechner — holds since 2026-03-25 — tap for who they are
Same subject: A coding agent left to run over a weekend returns work that is half good, a quarter garbage and a quarter in need of repair. — tap to centre the map on it A coding agent left to run over a weekend returns work that is half good, a quarter garbage and a quarter in need of repair. Last stated a year ago
18 Aug 2025
CB
Clay Bavor — holds since 2025-08-18 — 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 3 weeks ago
3 Sept 2026
DR
Dax Raad — holds since 2026-09-03 — 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 3 weeks 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 3 weeks 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
Same subject: A language-agnostic conformance suite is the most powerful thing you can hand a coding agent, because the whole instruction becomes: write code until these tests pass. — tap to centre the map on it A language-agnostic conformance suite is the most powerful thing you can hand a coding agent, because the whole instruction becomes: write code until these tests pass. Last stated 6 months ago
19 Mar 2026
SW
Simon Willison — holds since 2026-03-19 — tap for who they are
Same subject: A passing test suite is not evidence that the software works, so an agent must also be made to start the thing and exercise it the way a person would. — tap to centre the map on it A passing test suite is not evidence that the software works, so an agent must also be made to start the thing and exercise it the way a person would. Last stated 6 months ago
19 Mar 2026
SW
Simon Willison — holds since 2026-03-19 — tap for who they are
Same subject: A permanently painful on-call rotation is a five-alarm emergency, not a normal cost of owning code in production. — tap to centre the map on it A permanently painful on-call rotation is a five-alarm emergency, not a normal cost of owning code in production. Last stated 4 years ago
30 Jun 2022
CM
Charity Majors — holds since 2022-06-30 — tap for who they are
At the centre
What limits AI automating a workflow is how well the workflow is codified, not the underlying model
Holds Read this korrent →
AI did not create the bottlenecks in software delivery; it threw gas on processes everybody already knew were weak.
Holds
The quality of the context given to an AI matters more than the model's inherent capability.
Holds
Having the very best AI model and harness does not result in better or faster execution and can slow teams down
Holds
As AI agents take on bigger delegated tasks, the human bottleneck shifts to writing specs and reviewing output fast, hollowing out the middle of the work.
Holds
Confidence in monitoring, not capability research, will become the binding constraint on AI progress.
Holds
Economic growth from AI waits on change management, not on model capability: the work artifact and the workflow have to change first.
Holds
AI model capability progress is not going to slow down soon
Holds
How far AI systems are scaled must be constrained by how confident we are in their safety.
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 left to run over a weekend returns work that is half good, a quarter garbage and a quarter in need of repair.
Holds
A coding-agent company should not train its own model: it has to stay neutral ground for models to compete on.
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
A language-agnostic conformance suite is the most powerful thing you can hand a coding agent, because the whole instruction becomes: write code until these tests pass.
Holds
A passing test suite is not evidence that the software works, so an agent must also be made to start the thing and exercise it the way a person would.
Holds
A permanently painful on-call rotation is a five-alarm emergency, not a normal cost of owning code in production.
Holds