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mid_model_research/forgecode/feedback/community-sources.md
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sleepy 51123212c4 Initial commit: coding harness feedback analysis
Harnesses under analysis:
- opencode (Go-based coding agent)
- pi (minimal terminal coding harness by Mario Zechner)
- hermes (Nous Research agent)
- forgecode (AI pair programmer with sub-agents)

Each harness folder contains:
- repo/: Source code from respective repositories
- feedback/localllm/: Community feedback for local/smaller models
- feedback/frontier/: Community feedback for frontier models

Research focus: Tool handling, skills systems, prompt engineering,
context management, and best practices for smaller/local models.
2026-04-09 15:13:45 +02:00

146 lines
3.8 KiB
Markdown

# Community Sources & Ongoing Monitoring
**Last Updated:** April 9, 2026
---
## Official Channels
### Discord
- **URL:** https://discord.gg/kRZBPpkgwq
- **Purpose:** Community support, feature announcements, feedback
- **Activity:** Active (referenced in docs and GitHub)
### GitHub
- **Issues:** https://github.com/antinomyhq/forgecode/issues (48 open, 433 closed)
- **Discussions:** https://github.com/antinomyhq/forgecode/discussions
- **Releases:** https://github.com/antinomyhq/forgecode/releases
### Reddit
- **r/forgecode:** https://www.reddit.com/r/forgecode/ (official subreddit)
- **r/ClaudeCode:** Frequently discusses ForgeCode comparisons
- **r/cursor:** Pricing and feature comparisons
- **r/LocalLLaMA:** Local model usage with ForgeCode
---
## Key External References
### Benchmarks
- **TermBench 2.0:** https://tbench.ai/leaderboard/terminal-bench/2.0
- **llm-stats.com:** https://llm-stats.com/benchmarks/terminal-bench
- **SWE-bench:** https://www.swebench.com/ (independent validation)
### Documentation
- **Official Docs:** https://forgecode.dev/docs/
- **Installation:** https://forgecode.dev/docs/installation/
- **ZSH Support:** https://forgecode.dev/docs/zsh-support/
- **Blog:** https://forgecode.dev/blog/
### Articles & Reviews
- **DEV Community:** Multiple comparison articles
- **TechGig:** Feature overview (August 2025)
- **Artificial Analysis:** Independent benchmark tracking
---
## Notable GitHub Issues to Watch
### Critical (Open)
| Issue | Description | Status |
|-------|-------------|--------|
| #2904 | Use models.dev as registry | Open |
| #2894 | Qwen 3.5 system messages bug | Open |
| #2893 | Ghostty resize bug | Open, PR linked |
| #2888 | API key helpers | Open |
| #2884 | Muse mode blocked | Open |
### Historical (Closed but relevant)
| Issue | Description |
|-------|-------------|
| #2813 | Fixed in response to Reddit feedback |
| #2485 | Mac installation issues |
| #1296 | Daily FORGE limit stops tasks |
| #1318 | Telemetry concerns |
---
## Research Papers
### Terminal-Bench
- **arXiv:** https://arxiv.org/html/2601.11868v1
- **OpenReview:** https://openreview.net/forum?id=a7Qa4CcHak
- **Published:** ICLR 2026
---
## Monitoring Recommendations
### Weekly Checks
1. GitHub issues for new bugs affecting model compatibility
2. Discord announcements for feature updates
3. Reddit for user experience reports
### Monthly Reviews
1. Benchmark leaderboard updates (llm-stats.com)
2. New model support announcements
3. Pricing changes
### Quarterly Analysis
1. Comparative reviews (DEV Community, blogs)
2. Feature gap analysis vs competitors
3. Local model compatibility updates
---
## Data Collection Notes
### Exhaustive Search Performed
- Web search across multiple query angles
- GitHub issue extraction
- Documentation review
- Blog post analysis
- Community forum monitoring
### Sources Checked
- GitHub (antinomyhq/forgecode)
- Reddit (r/forgecode, r/ClaudeCode, r/cursor, r/LocalLLaMA)
- DEV Community
- ForgeCode official blog
- Independent benchmark sites
- Academic papers
### Limitations
- Reddit verification challenges prevented some thread extraction
- Discord content not directly accessible (requires login)
- Some GitHub issues require authentication for full details
---
## Contribution Guidelines
When adding new feedback:
1. **Follow the format:**
- Model/Topic header
- Source references with URLs
- What worked / What didn't
- Specific issues encountered
2. **Include dates:** When was the feedback collected?
3. **Categorize correctly:**
- `frontier/` for closed-weight models (GPT, Claude, Gemini, etc.)
- `localllm/` for open-weight models (Qwen, Llama, Mistral, etc.)
4. **Update README.md:** If adding major new categories
---
## Contact
For questions about this research:
- Check the GitHub repository for updates
- Join the ForgeCode Discord
- File issues against this research folder