Coding AI moats

Coding AI has a narrow moat: an average moat of 60 out of 100, 18th of 29 AI markets. 38 of its 492 rated products have a wide moat and 137 have none. Its main moat is habit and retention, and no source is strong.

Data updated · 492 products rated

The widest moats in CodingCheck your product’s moat

Narrowmoat rating, 60 out of 100
18 of 29markets, by average moat
492products rated for moat
8%have a wide moat

Every rated product, by moat

Wide 8% (38)Narrow 64% (317)None 28% (137)

Moat profile

Each source on a 0 to 100 scale, averaged across the market and rated against the other AI markets. Threats count against the moat.

SwitchingRetentionHard to copyRegulationEcosystem

Dashed line: the average across all AI markets.

Moat sources

Switching costsHow much time, data and retraining a customer would lose by moving to a rival.Weak · 40
Habit and retentionHow deeply the product sits in a daily routine or workflow.Moderate · 70
Hard to copyDifferentiation from rivals, and how few products are thin layers over a public model.Moderate · 70
Regulatory barrierCompliance work (health, finance, legal, privacy rules) a new entrant must clear first.Weak · 1
EcosystemShare of products with a public API and with ten or more integrations.Moderate · 58

Threats to the moat

Wrapper exposureShare of products whose core could be rebuilt on a public model in days.Some · 28
Platform dependencyHow much products rely on another company’s platform (a social network, a store, a search engine) to work.Some · 43

Widest moats in Coding

Ranked by FalcoScan’s moat score, shown as bands, with the sources each product is strong on. Exact scores are on paid plans.

  1. 01StripeThe developer-first payments infrastructure powering the internetStrong on habit and retention, hard to copy, ecosystemWide moat
  2. 02MendixLow-code application platformStrong on switching costs, habit and retention, regulatory barrierWide moat
  3. 03Inngest WorkflowsDurable AI workflows and background jobsStrong on habit and retention, hard to copy, ecosystemWide moat
  4. 04Opik LLM EvalOpen-source LLM evaluation and tracingStrong on habit and retention, hard to copy, ecosystemWide moat
  5. 05Trigger Dev OpenOpen-source background jobs for TypeScriptStrong on habit and retention, hard to copyWide moat
  6. 06Clerk AuthDrop-in auth UI componentsStrong on habit and retention, hard to copy, ecosystemWide moat
  7. 07Gemini CLIAn open-source AI agent that brings the power of Gemini directly into your terminalStrong on switching costs, habit and retention, hard to copyWide moat
  8. 08Jan AI DesktopOffline AI assistant for Mac and WindowsStrong on habit and retention, hard to copy, ecosystemWide moat
  9. 09Stainless SDK GenAuto-generate SDKs from your OpenAPI specStrong on habit and retention, hard to copy, ecosystemWide moat
  10. 10Supabase AuthOpen-source auth for every appStrong on habit and retention, hard to copy, ecosystemWide moat

Make one of these? Products rated a wide or narrow moat can show a live moat badge on their site. Get your badge →

Most exposed products

The products with the least protection and the full top 25 open with a free account. Exact moat scores and their inputs are on paid plans.

Questions

Does Coding AI have a moat?

Coding AI has a narrow moat on FalcoScan, averaging 60 out of 100 across 492 rated products, against 62 across all AI markets. 8% of its products have a wide moat and 28% have none.

What protects Coding AI products from competition?

Rated against other AI markets: switching costs weak, habit and retention moderate, hard to copy moderate, regulatory barrier weak, ecosystem moderate. The main moat is habit and retention.

Which Coding AI tools have the widest moats?

Stripe, Mendix, Inngest Workflows lead Coding on FalcoScan's moat rating. The ten widest are listed on this page; exact moat scores for every product are in FalcoScan plans, the API and the MCP server.

How does Coding AI compare with other AI markets?

Coding ranks 18th of 29 AI markets by average moat, wider than 11 of them. The nearest markets are 3D & AR/VR (60) above it and Productivity (60) below it.

What threatens moats in Coding AI?

Wrapper exposure is some (28% of products could be rebuilt on a public model quickly) and platform dependency is some.

Cite and share

Quote a figure, link to the page or take the data for every market.

Citation

FalcoScan, “Coding AI moats”, data updated 9 October 2026. https://falcoscan.com/moats/coding

BibTeX
@misc{falcoscan_moats_coding_2026,
  author = {{FalcoScan}},
  title = {Coding AI moats},
  year = {2026},
  month = oct,
  howpublished = {\url{https://falcoscan.com/moats/coding}},
  note = {Data updated 9 October 2026}
}
Link for your site

<a href="https://falcoscan.com/moats/coding">Coding AI moat rating (FalcoScan)</a>

Market data

Every market’s moat rating, average, sources, threats and saturation, as a CSV or as Markdown with the method and definitions. Free to use with a citation.

MarkdownCSV

The figures refresh daily from the FalcoScan catalog. When you quote one, quote the date with it: .

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