Banger paper from Microsoft Research. (bookmark it) They run 1K+ coding agents at once to test a scalable self-organized multi-agent harness. This is an interesting test because most multi-agent systems today have some hierarchy or structure. Agensh has no central orchestrator. It coordinates parallel coding agents through a shared state instead of a central orchestrator. Each agent gathers context, claims a sub-task, does the work, shares what it found, verifies the result, and merges it, all asynchronously through a shared workspace and a message channel. On the five hardest ProgramBench tasks with GPT-5.6-sol, increasing agents from 1 to 128 raises the mean final test-pass rate from 19.31% to 28.78%. Larger teams also reach a given pass rate sooner. On pandoc, 1,024 agents take the…Read original on X
StoryFirst seen
Microsoft Research runs 1,024 coding agents without central orchestrator
The Agensh harness coordinates parallel coding agents with no hierarchy, unlike most current multi-agent systems.
Everything it touches
1 names 1 voices 1 source posts
The story’s neighborhood
Explore the graph, or choose a connection below.
Follow the evidence
The source posts
This brief comes from Tech Twitter’s edited headlines. The posts below are the sources grouped with the story; statements in them belong to their authors.
Shared connections
Related stories
Microsoft builds trillion-parameter base models entirely in-house
State-of-the-art pretraining at the MAI lab gives Microsoft its own foundation-model pipeline and more control over its AI stack.
CoreWeave bond losses show AI data-center debt was underpriced
Investors are down hundreds of millions months after a billion-dollar bond sale, a warning that AI credit risk is being repriced.
Figma opens its canvas to code and agents at Config India
With Code Layers, Specs, and Payload in beta plus twenty new agent partners, the design tool is repositioning itself as a place where software gets built, not just designed.
Figma opens its canvas to code and agents at Config India
With Code Layers, Specs, and Payload in beta plus twenty new agent partners, the design tool is repositioning itself as the shared surface where designers, engineers, and AI agents