AGENTS.md

Last Updated: April 9, 2026

Research/Analysis Folder for forgecode

This is the research and analysis folder for the forgecode coding harness.

Folder Structure

forgecode/
  repo/           - antinomyhq/forgecode source code
  feedback/
    localllm/     - Community feedback and performance data for local models
    frontier/     - Community feedback and performance data for frontier models

What's Inside

repo/: The forgecode repository (AI pair programmer with sub-agents)
feedback/localllm/: Feedback, benchmark results, and observations from using forgecode with smaller/local LLMs
feedback/frontier/: Feedback, benchmark results, and observations from using forgecode with frontier models

Feedback Format

Each feedback file should include:

Model used (name, size, provider)
Benchmark results or task performance
Issues encountered
What worked well
Source reference: URL or site where the feedback came from (community posts, Discord, GitHub issues, etc.)

Research Focus

This folder collects data on:

Tool handling and capabilities
Skills system effectiveness
Prompt engineering strategies
Context management
Performance on benchmarks (terminal-bench, etc.)

Goal

Extract best practices specifically for smaller/local models and document what works vs. what doesn't for the forgecode harness.

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