AI assistants and search decision

GitHub Copilot

A small team or single technical user can build a usable editor-integrated code-suggestion assistant by wiring an editor extension to a third-party LLM, but you won't match GitHub's proprietary model hosting, deep GitHub integrations, enterprise features, or product polish without substantial ongoing investment.

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Built by Iván Córdoba, who ships 4 products in this index

You pay

$4/mo

$48/yr

Per seat. Read off the official pricing page.

You’d pay instead

$50one-off30 h to build

$100/mo8 h/mo upkeep

On cash alone, building overtakes the subscription at 27 seats.

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All GitHub Copilot alternatives, with the arithmetic →

Code GitHub Copilot publishes itself

Not a way out of the subscription - these are the vendor’s own repositories. Worth a look for how they build, and for anything you would have to integrate with.

What a replacement has to do

  • Take editor buffer + nearby repository context -> send to an LLM -> return and render inline code suggestions/completions in the editor

What it still won’t have

  • Proprietary trained model and model-hosting optimizations GitHub provides
  • Deep built-in integration with GitHub repository metadata, PRs, and enterprise features
  • Enterprise features (Copilot for Business, advanced security, SSO, data residency)
  • Polish: QA, hallucination-mitigation, and large-scale telemetry-driven improvements

What remains hard

  • Brand trustMillions of developers and businesses call GitHub home
  • Integration maintenanceExtend your stack with apps, actions, and AI models.
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 27 seats.

Paid seatsseats

Money you would actually spend

Keep paying
—

Subscription price × seats × 12

Build it
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AI build —APIs + hosting —

Time you would spend

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What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a minimal GitHub-Copilot-like developer assistant: implement a VS Code extension (TypeScript) plus a small Node.js/Express backend. In scope: capture editor buffer and cursor, extract nearby repository context (open files and simple file ranking), call an external LLM API, return suggestions and render inline completions with accept/preview/next controls, basic auth (personal API key stored encrypted), rate-limiting, and opt-out telemetry. Out of scope: training models, enterprise SSO, data residency, and advanced security scanning. Include error handling for API failures, input size limits, and unit/integration tests for the extension and backend.
How we checked5 sources · 3/3 runs agreed · evidence score 67

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 5 cited sources+3
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Evidence score67

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 5

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 2 moats quoted from the page