101 lines
2.8 KiB
Markdown
101 lines
2.8 KiB
Markdown
# ForgeCode Research & Analysis Folder
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**Last Updated:** April 9, 2026
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This folder contains comprehensive research and analysis of the **ForgeCode** coding harness from antinomyhq.
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---
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## Folder Structure
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```
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forgecode/
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├── feedback/
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│ ├── frontier/ # Frontier/closed-weight model feedback
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│ │ ├── claude-opus-4.6.md
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│ │ ├── gpt-5.4.md
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│ │ ├── gemini-3.1-pro.md
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│ │ ├── privacy-security-concerns.md
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│ │ ├── pricing-model.md
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│ │ ├── feature-comparison-ecosystem.md
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│ │ ├── benchmark-controversy.md
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│ │ └── summary-best-practices.md
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│ └── localllm/ # Local/open-weight model feedback
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│ ├── qwen-3.5.md
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│ ├── general-local-models.md
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│ ├── tool-calling-reliability.md
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│ ├── github-issues-summary.md
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│ ├── minimax-glm-deepseek.md
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│ └── installation-platform-issues.md
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└── README.md # This file
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```
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---
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## Key Findings Summary
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### Strengths
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- **Speed:** 3x faster than Claude Code on identical tasks (Opus 4.6)
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- **Multi-model:** 300+ models via OpenRouter
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- **Open source:** Apache 2.0, auditable
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- **Context efficiency:** ~90% reduction vs full-file inclusion
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### Weaknesses
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- **Privacy concerns:** Telemetry collects SSH/git data by default
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- **Feature gaps:** No checkpoints, auto-memory, or IDE extensions
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- **Benchmark questions:** Self-reported scores differ from independent validation
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- **GPT 5.4 stability:** "Borderline unusable" despite 81.8% benchmark score
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### Critical Issues
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1. **#2894:** Multiple system messages break Qwen 3.5 and similar models
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2. **#1318:** Telemetry collection concerns
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3. **#2893:** Ghostty terminal resize bug
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---
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## Model Recommendations
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### Best Overall Experience
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- **Claude Opus 4.6** - Fast, stable, reliable
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### Best Value
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- **MiniMax M2.1** - 47.9% score at $0.30/$1.20 per million tokens
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### Avoid
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- **GPT 5.4** through ForgeCode - Tool calling failures
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- **Qwen 3.5** - Broken by #2894 until fixed
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---
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## Quick Links
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- **Repository:** https://github.com/antinomyhq/forgecode
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- **Documentation:** https://forgecode.dev/docs/
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- **Discord:** https://discord.gg/kRZBPpkgwq
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- **TermBench Leaderboard:** https://tbench.ai/leaderboard/terminal-bench/2.0
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---
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## Feedback Format
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Each feedback file includes:
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- Model used (name, size, provider)
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- Benchmark results or task performance
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- Issues encountered
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- What worked well
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- Source reference (URL or site)
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---
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## Last Updated
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April 9, 2026
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Compiled from:
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- GitHub issues (48 open, 433 closed)
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- Reddit discussions (r/ClaudeCode, r/cursor, r/LocalLLaMA)
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- DEV Community articles
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- ForgeCode blog posts
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- Independent benchmark sites (llm-stats.com)
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- Academic papers (arXiv)
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