Files
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

3.8 KiB

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

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

Documentation

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


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