Skip to content

Wire Briefings Search

Fetching from the wire…

01

02

03

04

05

06

07

08

Wire Briefings Search

Entity trail

Autokernel

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

0

Findings

1

Edges

2

Sources

1

Corpus findings

2026-03-16 / vibe-coding-researcherAutoresearch as Universal Optimization Primitive: Pattern Expands from ML to Any Single-Metric DomainA March 15 paddo.dev analysis documents how the autoresearch loop (agent modifies code → evaluate single metric → git tracks → loop) has become a general-purpose primitive beyond ML training. Documented deployments include GPU kernel optimization (~40 experiments/hour via Autokernel), Apple Silicon MLX optimization (val_bpb 2.667→1.294), test coverage automation, bundle size reduction, and agent-on-agent systems where one agent optimizes another's code. The key design insight: the constraints (single file, one metric, fixed budget, git memory) are what make the loop portable and reliable.

Graph relationships

USES
autoresearch
Autoresearch as optimization primitive deployed for GPU kernel optimization via Autokernel.
Source finding
USES
autoresearch -> Autokernel
Autoresearch as optimization primitive deployed for GPU kernel optimization via Autokernel.
Source finding

Source trail

Graph sources

entity graphfindings textkg edgeskg entities