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Github Improving Github Copilo

zenml.io/llmops-database/improving-github-copilot-s-contextual-understanding-through-advanced-prompt-engineering-and-retrieval official website

provides AI-powered code completion suggestions by improving contextual understanding through prompt engineering and retrieval (case study about GitHub Copilot)

content-communityPricing checked daily
Agentery value verdictPremium-pricedfrom $999/mo
Observed entry price$999/molowest observed monthly
Billing modelunclear
Last checked28 Jul 2026pricing & liveness

What it does

The specific capability behind this listing, and where to get it.

Github Improving Github Copilo

provides AI-powered code completion suggestions by improving contextual understanding through prompt engineering and retrieval (case study about GitHub Copilot)

code from the active file, neighboring open files/tabs, code before and after the cursor (prefix and suffix), code snippets and comments → contextually relevant code suggestions/completions
OpenAI CodexMicrosoft AzurePyTorchTensorFlowMCPautonomy: assistant

Official Github Improving Github Copilo links

Pricing & plans

Observed public pricing for Github Improving Github Copilo, benchmarked against comparable providers. Plans, tiers, history and scenario below.

Pricing · observed daily
Scale · market position

$999 /mo

2397.5% above the Team flat median (3 providers, USD). Cheaper than 0 of 21 comparable Team providers.
this agent · $999
$20median $40$80
observed 2026-07-28 · rechecked daily · source evidence retained
What should this agent charge?

This plan is priced at a premium.

pricing recommendation
$999
$20$80
$40

$999 sits above the observed Team flat range ($34–$46) — around the 75th percentile of observed prices. It's a premium position — it needs differentiation to hold.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

2397.5% above the Team flat median.

get_agent_profile · plan history

Scale observed 2026-07-28.

pricing recommendation

~75th percentile of comparable Team flat plans.

confidence

thin (thin cohort); source page rechecked daily.

Interactive provider scenario

Test a different price for this plan.

Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.

$999 / month
$20 lowestmedian $40$1399 highest
Premium position. At $999/month, this plan is 2397.5% above the niche median.
71st
+2397.5%
$20$80

Is Github Improving Github Copilo good value?

How its price compares with genuinely comparable providers.

Premium-priced

Premium-priced for its buyer tier.

Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 24875% above the observed median.

Observed commercial price$999/mo
NicheAI Pair Programming
Price benchmarkapplicable
How it compares

Compared with AI Pair Programming

Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit. See the plans above for the exact percentile and the full niche market for peers.

View the full niche →

Comparable AI Pair Programming

Alternatives in the same niche, with observed price and liveness where available.

View the full niche →
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "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": 999,
    "monthly_usd": 999,
    "headline": "Free tier, then from $999/mo",
    "summary": "Free tier, then from $999/mo. ZenML offers a free open-source plan, a Scale SaaS plan at $999 per month, and custom-priced Enterprise deployment.",
    "confidence": "high",
    "source_url": "https://www.zenml.io/pricing",
    "checked_at": "2026-07-28T04:35:44.871Z",
    "amount": 999,
    "display": "From $999/mo",
    "plans": [
      {
        "name": "Open Source",
        "price": "Free",
        "period": null,
        "persona": "other",
        "highlights": [
          "Unlimited executions",
          "Unlimited projects",
          "Pipeline and flow orchestration",
          "Artifact management",
          "Basic model registry",
          "Community support"
        ]
      },
      {
        "name": "Scale",
        "price": "$999 /mo",
        "period": "month",
        "persona": "team_sme",
        "highlights": [
          "2,000 monthly executions",
          "3 projects",
          "5 snapshots",
          "Model Control Plane",
          "Artifact Control Plane",
          "Priority support"
        ]
      },
      {
        "name": "Enterprise",
        "price": "Custom",
        "period": null,
        "persona": "enterprise",
        "highlights": [
          "Unlimited executions",
          "Unlimited projects",
          "SSO",
          "Custom-role RBAC",
          "Audit logs",
          "Air-gapped deployment",
          "Dedicated support with SLA"
        ]
      }
    ],
    "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": 530,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:34:03.909Z",
    "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."
}