HN Showcase
Back to browse
GitHub Repository

A goal-specification file for autonomous coding agents. Generalizes Karpathy's autoresearch to domains with constructed metrics.

144 starsShell

Goal.md, a goal-specification file for autonomous coding agents

by jmilinovich·Mar 15, 2026·31 points·8 comments
Visit ProjectView on HN

AI Analysis

●●●BangerBig BrainZero to OneRabbit Hole

Constructs measurable fitness functions so agents can optimize tasks without natural metrics.

Strengths
  • •Generalizes Karpathy's autoresearch pattern beyond ML to arbitrary software work
  • •Demonstrated autonomous improvement: routing confidence 47% to 83% overnight
  • •Pattern applies to immeasurable domains like documentation quality and test infrastructure
Weaknesses
  • •Requires significant upfront work to construct meaningful metrics for each domain
  • •Success depends entirely on how well you design the fitness function
Category
AI/ML
Target Audience

Developers experimenting with autonomous coding agents

Similar To

Karpathy's autoresearch · AutoGPT · Sweep.dev

Similar Projects

Developer Tools●●Solid

Assign tasks to 7 AI agents with -mentions, autonomous mode, OpenClaw

Mysti makes multi-model coding workflows tangible: you can inline-route tasks with @-mentions and have agents execute a pipeline where each one gets the previous output, plus auto-retries for failures. The OpenClaw daemon, WebSocket streaming, status-bar provider switching, and autonomous/semi-autonomous modes show this is more than a toy — it aims to make cross-model review and debate a practical part of your edit loop. The real test will be subscription/config friction and whether multi-agent noise actually improves real-world code quality, but the feature set is a smart, ambitious bet.

Big BrainSlick
bahaAbunojaim
123mo ago