DevOps / SRE / Platform · 07.08.2026, 18:25 UTC
Coinbase, Shopify and Ramp all built their own coding agents. All three still pay Anthropic.
| Schweregrad | info |
|---|---|
| Kategorie | DevOps / SRE / Platform |
| Quelle | The New Stack ↗ |
| Veröffentlicht | 07.08.2026 UTC |
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Enterprise engineering teams are converging on a common architecture for AI-assisted software development. Coinbase, Shopify, and Ramp have each built an internal coding agent for their developers. Yet none of those house-built agents have replaced commercial tools such as Claude Code, Codex, or Cursor.
That makes this less a build-versus-buy decision and more an architectural one.
The layer these companies chose to own is not the large language model. It is the agent harness – the execution environment that provides context, permissions, workflow orchestration, tool access, and verification. Frontier models from Anthropic, OpenAI, and Google continue to provide the reasoning engine, while enterprises increasingly own everything around it.
Frontier models from Anthropic, OpenAI, and Google continue to provide the reasoning engine, while enterprises increasingly own everything around it.
LangChain recently acknowledged that this architecture has become repeatable by open-sourcing Open SWE, describing it as the public implementation of the same pattern already deployed internally at Stripe, Ramp, and Coinbase.
The competitive advantage sits outside the model
Although Forge, River, and Inspect were developed independently, they solve remarkably similar problems.
Coinbase’s Forge integrates Slack, GitHub, and Linear into a workflow that can convert a bug report into a pull request with minimal developer intervention. Once an issue is identified, Forge retrieves the required repository context, generates code, validates the changes, and even produces a mobile build for …