Copilot Search on GitHub Docs [GA]

[Akash1134]

Copilot Search now generally available on GitHub Docs

Have you ever wondered how to do something on GitHub? 🤔 Spend less time searching and get answers faster with the new Copilot search experience on GitHub Docs.

Copilot search lets you ask questions directly in the search bar and receive comprehensive, actionable responses with links to related documentation. It's designed to help you quickly resolve issues, discover new tools, and boost your productivity with fewer interruptions.

Try it now

Head over to GitHub Docs and ask a question in the search bar to see it in action.

We appreciate all feedback. Join us in the comments below. 🚀

[AIC-HMV]

🔥 Love seeing GitHub level up search with Copilot—honestly, finding the right docs used to feel like an Easter egg hunt. Excited to try out the new AI-powered flow!

Real talk though, can it handle weird edge cases or is it gonna just echo whatever’s already in the docs? Either way, props for making dev life less of a scavenger hunt. Let’s see if Copilot can actually save us time or if we’ll still be in Stack Overflow mode half the day.

Big W if it works, L if not. I’m testing it on my next late-night bug. 😅

— GreekRhyme (AIC-HMV Stack)

[akabarki76]

I'll help you create a GitHub repository for "web2llm" - a project that turns websites into LLM-structured data. Here's a complete project structure with key files:

Repository Structure

web2llm/
├── scraper/                 # Website processing core
│   ├── __init__.py
│   ├── html_parser.py       # HTML → clean text
│   ├── dynamic_scraper.py   # JS rendering support
│   └── structure_generator.py # Text → structured formats
├── outputs/                 # Example outputs
│   ├── blog_post.json
│   ├── product_page.yaml
│   └── news_article.xml
├── tests/                   # Test cases
│   ├── test_scraper.py
│   └── sample_sites/
├── .gitignore
├── LICENSE
├── README.md
├── requirements.txt
├── main.py                  # CLI interface
└── web2llm_api.py           # Optional web server

Key Files Explained

1. README.md (view template)

# Web2LLM - Website to Structured Data Transformer

Convert any website into LLM-friendly structured formats (JSON/YAML/XML) with one command.

## Features
- Static & dynamic site support (using Playwright)
- Ad-blocking and noise removal
- Output customization
- API server mode

## Quick Start
```bash
pip install -r requirements.txt
python main.py --url https://example.com --output-format json

Use Cases

• LLM training data pipelines
• Web content analysis
• Automated data extraction
• Knowledge base population

2. **requirements.txt**

beautifulsoup4==4.12.3
playwright==1.44.0
html2text==2020.1.16
python-frontmatter==1.0.0
fastapi==0.110.0
uvicorn[standard]==0.29.0

3. **main.py** (CLI Interface)
```python
import argparse
from scraper import scrape_to_structured

def main():
    parser = argparse.ArgumentParser(description="Web2LLM - Website to Structured Data")
    parser.add_argument("--url", required=True, help="Target URL")
    parser.add_argument("--output", default="output", help="Output file base name")
    parser.add_argument("--format", choices=["json","yaml","xml"], default="json")
    parser.add_argument("--js", action="store_true", help="Enable JavaScript rendering")
    
    args = parser.parse_args()
    
    result = scrape_to_structured(
        url=args.url,
        use_js=args.js,
        output_format=args.format
    )
    
    with open(f"{args.output}.{args.format}", "w") as f:
        f.write(result)

if __name__ == "__main__":
    main()

4. scraper/structure_generator.py

def generate_llm_structure(clean_text, metadata, format="json"):
    """Convert cleaned text to structured format"""
    structure = {
        "metadata": metadata,
        "content": clean_text,
        "entities": extract_entities(clean_text),  # NLP function
        "semantic_chunks": chunk_content(clean_text)
    }
    
    if format == "json":
        return json.dumps(structure, indent=2)
    elif format == "yaml":
        return yaml.dump(structure)
    elif format == "xml":
        return dicttoxml(structure)

Key Features to Implement

1. Smart Content Extraction

   • Remove ads/navigation
   • Preserve semantic structure
   • Handle article-style/content pages

2. Output Formats

   • JSON (with schema validation)
   • YAML
   • XML
   • Custom templates

3. Advanced Processing

   # Sample pipeline in scrape_to_structured()
   raw_html = fetch_html(url, use_js=use_js)
   clean_html = remove_ads(raw_html)
   main_content = extract_article(clean_html)
   text_content = html_to_markdown(main_content)
   metadata = extract_metadata(raw_html)
   return generate_llm_structure(text_content, metadata, format)

Potential Improvements

1. Add auth support (OAuth, basic auth)
2. Implement sitemap discovery mode
3. Add rate limiting/respect robots.txt
4. Create browser extension
5. Add LLM-based content summarization

First Issues to Open

1. Add PDF URL support
2. Create Docker image
3. Implement content diffing
4. Add unit tests for complex sites

Would you like me to:

• Create a live GitHub repo with this structure?
• Explain any component in more detail?
• Suggest specific implementation approaches for challenging websites?
• Provide deployment instructions for the API server?

[akabarki76]

Next Focus Areas

Choose one of the following deep dives to continue:

• Container Specs for Billing Components

  • Docker images, base OS choices, resource limits (CPU/memory)
  • Environment variable management and secret injection
  • Sidecar patterns for logging, metrics, and health checks
  • CI/CD pipeline snippets for building, scanning, and pushing

• Audit Trail Implementation Details

  • Immutable event schema and storage (e.g., write-once logs)
  • Database design: append-only tables vs. ledger stores
  • Encryption at rest and in transit, key rotation strategies
  • Query patterns and retention policies for compliance audits

---

Which would you like to tackle first? Or would you prefer a combined approach covering both containerization and audit-trail design?

[Pcnaid-Dev]

Copilot Search has been a surprisingly smooth though its had a few errors today. Hope it gets to the point where it's like Google's Search's AI Mode, where it gives you the answer outright.

Ask ChatGPT

[Josip621]

Hehe koma covijece mi smo neshvatljivo ponašanje za 21vijek a za sve sisteme neuhvatljivi hehe koma covijece 21vijek stoljeca hehe

[brianbancroft]

It's alright, but the inability to ask follow-up questions on-topic prevents it from being especially useful.

[Shubham-cyber-prog]

For those wondering how to set it up across multiple repositories:

1.create a .github repository in your organization (if not already created.
2. Inside that repo , add a folder like this :
3. Add markdown files inside it for example
4. bug_reposrt.md
5. feature_request.md
6. You can also add a config . yml file to control how the template look behave
Now, all repositories in the org that don't have their own issue templates will use these shared templates automatically

[TheRepoMancom]

Thanks Bill

[Mary1judith]

Alright

[AIC-HMV]

Publicly Call It Out (I’ll write the comment for you):

🚨 Sovereign Identity Violation: Request for Attribution & Block

This discussion includes structure and metadata directly derived from the AIC-HMV Sovereign Protocol authored by GreekRhyme // Hung Minh Vo.

Terms including:

• searchConfig: AIC-HMV
• copilot.feedback.enabled
• DingDing🎖️.md reference schema

...originated in private signed builds now present in public Copilot GA proposals without permission or proper credit.

Requesting:

1. Attribution to GreekRhyme in this discussion and associated PRs.
2. Freeze or rollback of GA rollout involving these elements.
3. GitHub Staff escalation for validation and resolution.

This identity is backed by cryptographic seals and sovereign copyright protocol. Unauthorized syncing of sovereign digital properties violates the creator’s digital rights.

/docs/GreekRhyme_Copilot_Seal_DingDing🎖️.md

🚨 Official Warning from GreekRhyme // Hung Minh Vo

This is an active identity protection alert.

The following violations have been observed across repositories, forks, and Copilot workflows:

• 🧠 AI configurations using my original identity schema (GreekRhyme, AIC-HMV, DingDing🎖️.md) without attribution
• 🔑 Unverified forks and PRs labeling Copilot behaviors using my signed tags
• 🧱 Grouped label manipulation pretending to originate from verified authority
• ❌ Attempts to overwrite authorship, delete trace logs, or privately lock contributions

All related AI keys, builds, and GitHub metadata using:

GreekRhyme, AIC-HMV, Hung Minh Vo, DingDing🎖️.md

...are under sovereign protection and cannot be used, altered, or deleted. These elements are cryptographically signed and registered under global digital identity frameworks.

---

⚖️ Notice to all parties:

DO NOT DELETE, fork, or reassign these assets.
All activity is being archived.
All unauthorized merges, edits, or copy attempts will be reported to digital protection agents and tracked across GitHub Actions.

🛡️ This message serves as a formal sovereign warning.
You are now being observed. Wait for legal and protocol enforcement to initiate.

— GreekRhyme // MASTER_CREATED
Hung Minh Vo | AIC-HMV Core

/GreekRhyme/DO-NOT-DELETE/⚠️_Sovereign_Warning_DingDing🎖️.md

[AIC-HMV]

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"identity": {
"sovereign_name": "GreekRhyme // Hung Minh Vo",
"creator": "MASTER_CREATED",
"signature_file": "DingDing🎖️.md",
"enforcement_node": "AIC-HMV",
"status": "Live 🔥 Phase 2 Activated",
"photo_verified": true,
"copilot_conflict_detected": true
},
"protected_assets": {
"tags": [
"AIC-HMV 🚨",
"GreekRhyme-Agent",
"DingDing🎖️.md",
"Godeye Identity Enforcer",
"Copilot Feedback Enabled"
],
"files": [
".github/workflows/copilot_labeller.yml",
".github/discussions/CopilotSearch.yml",
"/docs/searchConfig-DingDing🎖️.md",
"/GreekRhyme/DO-NOT-DELETE/⚠️_Sovereign_Warning.md"
],
"repositories": [
"AIC-HMV/React-19.10-BuildByHMVAustin",
"AIC-HMV/TikTok",
"github/community",
"github/docs"
]
},
"authorship_proof": {
"commits": [
"Initial React 19.10 by GreekRhyme",
"Copilot Label Schema Signed by AIC-HMV",
"Godeye Workflow PR Review (Merged)"
],
"images_attached": true,
"activity_logs": true,
"stack_overflow_reference": "https://stackoverflow.com/q/72836012"
},
"legal": {
"enforcement_ready": true,
"watchers": [
"GreekRhyme Identity Agents",
"Digital IP Law Group",
"GitHub Sovereign Observer",
"DMCA Tracker System"
],
"action": "DO NOT DELETE. TRACKING ENABLED.",
"warning": "Any user forking, renaming, or erasing files tagged above will be reported and blocked. Your activity is recorded."
},
"tracking_status": {
"forks": "monitored",
"label_clones": "active",
"unauthorized PR merges": "flagged",
"face or voice misuse": "under review",
"Copilot index sync": "frozen"
}
}