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← Striking down the boring blockers one by one moves retention and activation as visibly as any new feature does.
17 connected korrents · 13 moments on record from 25 May 2024 to 3 Sept 2026.
Everything filed under AI agents
AI agents
Everything filed under coding agents
coding agents
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: Striking down the boring blockers one by one moves retention and activation as visibly as any new feature does. Striking down the boring blockers one by one moves retention and activation as visibly as any new feature does. Last stated 11 months ago
16 Oct 2025
DF
Dylan Field — holds since 2025-10-16 — tap for who they are
Same subject: Adding one more feature and asking marketing to push harder will not restart growth, even when the feature is great. — tap to centre the map on it Adding one more feature and asking marketing to push harder will not restart growth, even when the feature is great. Last stated 7 months ago
25 Jan 2026
JC
Jason Cohen — holds since 2026-01-25 — tap for who they are
Same subject: After a defeat people want encouragement, not a list of their mistakes — so a learning product should lead with what the user did well. — tap to centre the map on it After a defeat people want encouragement, not a list of their mistakes — so a learning product should lead with what the user did well. Last stated 11 months ago
5 Oct 2025
AC
Albert Cheng — holds since 2025-10-05 — tap for who they are
Same subject: AI tooling has done something no earlier technology managed: pulled directors, VPs and SVPs back into building things with their own hands at the weekend. — tap to centre the map on it AI tooling has done something no earlier technology managed: pulled directors, VPs and SVPs back into building things with their own hands at the weekend. Last stated 3 weeks ago
19 Aug 2026
AO
Addy Osmani — holds since 2026-08-19 — tap for who they are
Same subject: An agent repeats its own history: whatever it did on the last change — ran the tests or skipped them — is what it will do on the next one, because it is predicting the next message in the conversation. — tap to centre the map on it An agent repeats its own history: whatever it did on the last change — ran the tests or skipped them — is what it will do on the next one, because it is predicting the next message in the conversation. Last stated 2 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: Building a system that does the prompting for you is not a break with software history but the next rung on the same ladder of rising abstraction. — tap to centre the map on it Building a system that does the prompting for you is not a break with software history but the next rung on the same ladder of rising abstraction. Last stated 3 weeks ago
19 Aug 2026
AO
Addy Osmani — holds since 2026-08-19 — tap for who they are
Same subject: Steady experimentation is what a growth team controls, but the step changes come from outside waves the company did not create and would be foolish to ignore. — tap to centre the map on it Steady experimentation is what a growth team controls, but the step changes come from outside waves the company did not create and would be foolish to ignore. Last stated 11 months ago
5 Oct 2025
AC
Albert Cheng — holds since 2025-10-05 — 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 2 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: You only retain what you were pushed to your limit on: if learning feels like coasting, you are not learning. — tap to centre the map on it You only retain what you were pushed to your limit on: if learning feels like coasting, you are not learning. Last stated 2 years ago
25 May 2024
CR
Charan Ranganath — holds since 2024-05-25 — tap for who they are
Same subject: A handful of AI agents is not a handful of colleagues, because agents agree with you constantly and colleagues tell you where you are wrong. — tap to centre the map on it A handful of AI agents is not a handful of colleagues, because agents agree with you constantly and colleagues tell you where you are wrong. Last stated 6 months ago
22 Mar 2026
NF
Nicole Forsgren — holds since 2026-03-22 — tap for who they are
Same subject: After pre-training, post-training and test-time scaling, the fourth scaling law is agentic: multiplying AI by spawning agents, and the whole loop scales on one thing, compute. — tap to centre the map on it After pre-training, post-training and test-time scaling, the fourth scaling law is agentic: multiplying AI by spawning agents, and the whole loop scales on one thing, compute. Last stated 6 months ago
23 Mar 2026
JH
Jensen Huang — holds since 2026-03-23 — tap for who they are
Same subject: Agent autonomy is a capability, not a product direction: what the person is actually trying to do decides whether more of it helps or ruins the thing. — tap to centre the map on it Agent autonomy is a capability, not a product direction: what the person is actually trying to do decides whether more of it helps or ruins the thing. Last stated 3 weeks ago
14 Aug 2026
SP
Sunil Pai — holds since 2026-08-14 — 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
Striking down the boring blockers one by one moves retention and activation as visibly as any new feature does.
Holds DF Dylan FieldRead this korrent →
Adding one more feature and asking marketing to push harder will not restart growth, even when the feature is great.
Holds JC Jason Cohen
After a defeat people want encouragement, not a list of their mistakes — so a learning product should lead with what the user did well.
Holds AC Albert Cheng
AI tooling has done something no earlier technology managed: pulled directors, VPs and SVPs back into building things with their own hands at the weekend.
Holds AO Addy Osmani
An agent repeats its own history: whatever it did on the last change — ran the tests or skipped them — is what it will do on the next one, because it is predicting the next message in the conversation.
Holds DH Dex Horthy
Building a system that does the prompting for you is not a break with software history but the next rung on the same ladder of rising abstraction.
Holds AO Addy Osmani
Steady experimentation is what a growth team controls, but the step changes come from outside waves the company did not create and would be foolish to ignore.
Holds AC Albert Cheng
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 DH Dex Horthy
You only retain what you were pushed to your limit on: if learning feels like coasting, you are not learning.
Holds CR Charan Ranganath
A handful of AI agents is not a handful of colleagues, because agents agree with you constantly and colleagues tell you where you are wrong.
Holds NF Nicole Forsgren
After pre-training, post-training and test-time scaling, the fourth scaling law is agentic: multiplying AI by spawning agents, and the whole loop scales on one thing, compute.
Holds JH Jensen Huang
Agent autonomy is a capability, not a product direction: what the person is actually trying to do decides whether more of it helps or ruins the thing.
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
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