Github Improving Github Copilo

{
  "agent_id": "github_improving_github_copilo",
  "name": "Github Improving Github Copilo",
  "url": "https://zenml.io/llmops-database/improving-github-copilot-s-contextual-understanding-through-advanced-prompt-engineering-and-retrieval",
  "logo": "https://agentery.com/logos/CP-YS5DCP-256.png",
  "niche": "ai-pair-programming",
  "category": "developer-tools-infra",
  "short_summary": "provides AI-powered code completion suggestions by improving contextual understanding through prompt engineering and retrieval (case study about GitHub Copilot)",
  "task_performed": "provides AI-powered code completion suggestions by improving contextual understanding through prompt engineering and retrieval (case study about GitHub Copilot)",
  "inputs_accepted": [
    "code from the active file",
    "neighboring open files/tabs",
    "code before and after the cursor (prefix and suffix)",
    "code snippets and comments"
  ],
  "outputs_produced": [
    "contextually relevant code suggestions/completions"
  ],
  "integrations_available": [
    "OpenAI Codex",
    "Microsoft Azure",
    "PyTorch",
    "TensorFlow"
  ],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [
    "developer tools"
  ],
  "autonomy_level": "assistant",
  "human_approval_needed": "always required",
  "pricing_model": "unclear",
  "price": {
    "observed": true,
    "billing": "freemium",
    "currency": "USD",
    "lowest_monthly_usd": 39,
    "monthly_usd": 39,
    "headline": "Free tier, then from $39/mo",
    "summary": "Free tier, then from $39/mo. The pricing page shows a free Open Source tier, a Cloud plan at $39/month, a Scale plan at $999/month, and custom-priced Enterprise options.",
    "confidence": "high",
    "source_url": "https://www.zenml.io/pricing",
    "checked_at": "2026-09-01T04:37:41.213Z",
    "amount": 39,
    "display": "From $39/mo",
    "plans": [
      {
        "name": "Open Source",
        "price": "Free",
        "period": null,
        "persona": "other",
        "highlights": [
          "Unlimited replays",
          "Unlimited agents",
          "Use your own infrastructure",
          "Community support"
        ],
        "price_annual": null
      },
      {
        "name": "Cloud",
        "price": "$39/month",
        "period": "month",
        "persona": "pro",
        "highlights": [
          "3 agents",
          "2 seats",
          "90-day session retention",
          "Hosted dashboard and control plane",
          "No-meter replays and experiment runs"
        ],
        "price_annual": null
      },
      {
        "name": "Enterprise",
        "price": "Custom",
        "period": null,
        "persona": "enterprise",
        "highlights": [
          "Unlimited agents",
          "Custom seats and retention",
          "SSO",
          "Audit logs",
          "Remote worker pools"
        ],
        "price_annual": null
      },
      {
        "name": "Open Source",
        "price": "Free",
        "period": null,
        "persona": "other",
        "highlights": [
          "Unlimited executions",
          "Unlimited projects",
          "Pipeline and flow orchestration",
          "Artifact management",
          "Community support"
        ],
        "price_annual": null
      },
      {
        "name": "Scale",
        "price": "$999/month",
        "period": "month",
        "persona": "team_sme",
        "highlights": [
          "For teams running ML in production",
          "Model Control Plane",
          "Artifact Control Plane",
          "Snapshots",
          "Codespaces"
        ],
        "price_annual": null
      },
      {
        "name": "Enterprise",
        "price": "Custom",
        "period": null,
        "persona": "enterprise",
        "highlights": [
          "Unlimited executions",
          "Unlimited projects",
          "SSO",
          "RBAC",
          "Air-gapped deployment"
        ],
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "GitHub case study",
    "55% faster coding metric",
    "millions of developers",
    "named ML engineer Albert Ziegler"
  ],
  "evidence_quality": "medium",
  "entity_type": "content-community",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://zenml.io/llmops-database/improving-github-copilot-s-contextual-understanding-through-advanced-prompt-engineering-and-retrieval",
    "https://www.zenml.io/llmops-database/improving-github-copilot-s-contextual-understanding-through-advanced-prompt-engineering-and-retrieval"
  ],
  "last_checked": "2026-06-16",
  "how_to_connect": {
    "website": "https://zenml.io/llmops-database/improving-github-copilot-s-contextual-understanding-through-advanced-prompt-engineering-and-retrieval",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 123,
    "uptime_7d": 1,
    "checked_at": "2026-09-02T02:35:16.183Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}