Tap a claim on the ring to put it at the centre.
← Stop managing an agent's context by hand: compaction works very well, so keep one thread per task.
17 connected korrents · 16 moments from 1 Mar 1999 to 3 Nov 2026.
Everything filed under AI agents
AI agents
Everything filed under simplicity
simplicity
Everything filed under LLMs
LLMs
Everything filed under coding agents
coding agents
Everything filed under pruning
pruning 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: Stop managing an agent's context by hand: compaction works very well, so keep one thread per task. Stop managing an agent's context by hand: compaction works very well, so keep one thread per task. Last stated a week ago
25 Oct 2026
TB
Thorsten Ball — holds since 2026-10-25 — tap for who they are
Same subject: Any LLM system that uses compaction needs to preserve the pre-compacted text and make it available via agent tool calls. — tap to centre the map on it Any LLM system that uses compaction needs to preserve the pre-compacted text and make it available via agent tool calls. Last stated 2 months ago
12 Sept 2026
SW
Simon Willison — holds since 2026-09-12 — tap for who they are
Same subject: Most agent harnesses need some pruning during context compaction anyway for cost reasons, which Jev might help with. — tap to centre the map on it Most agent harnesses need some pruning during context compaction anyway for cost reasons, which Jev might help with. Last stated 2 months ago
18 Sept 2026
AR
Armin Ronacher — holds since 2026-09-18 — tap for who they are
Same subject: The point of context engineering is to do as much work as possible in the smart zone — roughly the first hundred thousand tokens of the context window. — tap to centre the map on it The point of context engineering is to do as much work as possible in the smart zone — roughly the first hundred thousand tokens of the context window. Last stated 4 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: Maxing out your token usage is optimising one node of the factory for utilisation instead of the end-to-end goal of shipping value that is stable and lasts. — tap to centre the map on it Maxing out your token usage is optimising one node of the factory for utilisation instead of the end-to-end goal of shipping value that is stable and lasts. Last stated 4 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: As reasoning models and agents retain more tokens for longer, KV-cache size and attention cost become the main constraint on scaling context. — tap to centre the map on it As reasoning models and agents retain more tokens for longer, KV-cache size and attention cost become the main constraint on scaling context. Last stated 6 months ago
16 May 2026
SR
Sebastian Raschka — holds since 2026-05-16 — tap for who they are
Same subject: Don't wait for your agents; let them wait on you, with bigger, batched, asynchronous tasks. — tap to centre the map on it Don't wait for your agents; let them wait on you, with bigger, batched, asynchronous tasks. Last stated a week ago
25 Oct 2026
TB
Thorsten Ball — holds since 2026-10-25 — tap for who they are
Same subject: Software lock-in is breaking, because rewriting just the 5% of an application you personally use is now within one person's reach. — tap to centre the map on it Software lock-in is breaking, because rewriting just the 5% of an application you personally use is now within one person's reach. Last stated 2 months ago
26 Aug 2026
DH
David Heinemeier Hansson — holds since 2026-08-26 — tap for who they are
Same subject: If you will write a huge markdown file so an agent has context, you should have written the documentation that gives a human the same context. — tap to centre the map on it If you will write a huge markdown file so an agent has context, you should have written the documentation that gives a human the same context. Last stated 5 months ago
3 Jun 2026
KH
Kelsey Hightower — holds since 2026-06-03 — tap for who they are
Same subject: An agent harness should be minimal and customizable, because models keep advancing and the harness has to be flexible enough to evolve with them. — tap to centre the map on it An agent harness should be minimal and customizable, because models keep advancing and the harness has to be flexible enough to evolve with them. Last stated 3 months ago
1 Aug 2026
KC
Kun Chen — holds since 2026-08-01 — tap for who they are
Same subject: The most effective AI bots are narrowly scoped to a single, clearly defined responsibility. — tap to centre the map on it The most effective AI bots are narrowly scoped to a single, clearly defined responsibility. Last stated 2 months ago
14 Sept 2026
LR
Lenny Rachitsky — holds since 2026-09-14 — tap for who they are
Same subject: A codebase is the most important context an AI agent has, and letting many different models add to it without consistent patterns leads to trouble. — tap to centre the map on it A codebase is the most important context an AI agent has, and letting many different models add to it without consistent patterns leads to trouble. Last stated yesterday
3 Nov 2026
DB
Derek Briggs — holds since 2026-11-03 — tap for who they are
Same subject: A browser works better as a single window than as multiple separate windows. — tap to centre the map on it A browser works better as a single window than as multiple separate windows. Last stated 2 months ago
15 Sept 2026
CC
Chris Coyier — holds since 2026-09-15 — tap for who they are
Same subject: A business is more likely to fail from taking on too much complexity than from lacking resources. — tap to centre the map on it A business is more likely to fail from taking on too much complexity than from lacking resources. Last stated 8 years ago
29 Sept 2018
TG
Tren Griffin — holds since 2018-09-29 — tap for who they are
Same subject: A business succeeds through a small number of highly effective distribution channels, not many mediocre ones. — tap to centre the map on it A business succeeds through a small number of highly effective distribution channels, not many mediocre ones. Last stated 3 years ago
17 Feb 2024
AW
Adam Wiggins — holds since 2024-02-17 — tap for who they are
Same subject: A design has to be kept simple for reliability and intellectual control, but nobody yet knows how to reach simplicity systematically. — tap to centre the map on it A design has to be kept simple for reliability and intellectual control, but nobody yet knows how to reach simplicity systematically. Last stated 28 years ago
1 Mar 1999
ED
Edsger W. Dijkstra — holds since 1999-03-01 — tap for who they are
Same subject: A designer's edge now is pulling things back, making them simpler and more understandable, because everyone can kind of execute right now. — tap to centre the map on it A designer's edge now is pulling things back, making them simpler and more understandable, because everyone can kind of execute right now. Last stated 3 months ago
29 Jul 2026
CD
Charlie Deets — holds since 2026-07-29 — tap for who they are
Same subject: A feature only truly reaches billions of users when they do not have to think about a switch or a mode. — tap to centre the map on it A feature only truly reaches billions of users when they do not have to think about a switch or a mode. Last stated 3 months ago
16 Aug 2026
IS
Ian Silber — holds since 2026-08-16 — tap for who they are
At the centre
Stop managing an agent's context by hand: compaction works very well, so keep one thread per task.
Holds Read this korrent →
Any LLM system that uses compaction needs to preserve the pre-compacted text and make it available via agent tool calls.
Holds
Most agent harnesses need some pruning during context compaction anyway for cost reasons, which Jev might help with.
Holds
The point of context engineering is to do as much work as possible in the smart zone — roughly the first hundred thousand tokens of the context window.
Holds
Maxing out your token usage is optimising one node of the factory for utilisation instead of the end-to-end goal of shipping value that is stable and lasts.
Holds
As reasoning models and agents retain more tokens for longer, KV-cache size and attention cost become the main constraint on scaling context.
Holds
Don't wait for your agents; let them wait on you, with bigger, batched, asynchronous tasks.
Holds
Software lock-in is breaking, because rewriting just the 5% of an application you personally use is now within one person's reach.
Holds
If you will write a huge markdown file so an agent has context, you should have written the documentation that gives a human the same context.
Holds
An agent harness should be minimal and customizable, because models keep advancing and the harness has to be flexible enough to evolve with them.
Holds
The most effective AI bots are narrowly scoped to a single, clearly defined responsibility.
Holds
A codebase is the most important context an AI agent has, and letting many different models add to it without consistent patterns leads to trouble.
Holds
A browser works better as a single window than as multiple separate windows.
Holds
A business is more likely to fail from taking on too much complexity than from lacking resources.
Holds
A business succeeds through a small number of highly effective distribution channels, not many mediocre ones.
Holds
A design has to be kept simple for reliability and intellectual control, but nobody yet knows how to reach simplicity systematically.
Holds
A designer's edge now is pulling things back, making them simpler and more understandable, because everyone can kind of execute right now.
Holds
A feature only truly reaches billions of users when they do not have to think about a switch or a mode.
Holds