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Coinbase, Shopify and Ramp all built their own coding agents. All three still pay Anthropic.

Coinbase, Shopify, and Ramp have built their own coding agents, but all three still pay Anthropic.

Aug 7·thenewstack.io·2 min read

Intelligence analysis by Llama

These companies have developed their own coding agents, but they continue to pay Anthropic for its services.

Why it matters

The fact that these companies have built their own agents but still pay Anthropic highlights the complexity of the AI industry and the need for companies to have control over their own technology.

Imagine you have a team of super smart workers who can do lots of tasks for you. But instead of hiring them, you decide to train your own team of workers to do the same tasks. This is kind of like what companies like Coinbase, Shopify, and Ramp are doing with their own coding agents. They're building their own teams of workers to do tasks for them, but they're still paying Anthropic for its services. It's like having your own team of workers, but also hiring a few extra workers to help out.

Analysis

Anthropic's Role in the AI Industry

Anthropic is a leading AI research and development company that has been at the forefront of the AI industry. The company has developed several AI models, including its popular language model, Claude. Despite the efforts of companies like Coinbase, Shopify, and Ramp to build their own coding agents, they still pay Anthropic for its services. This highlights the complexity of the AI industry and the need for companies to have control over their own technology.

The Benefits of Building In-House AI Agents

Building in-house AI agents can provide several benefits to companies, including cost savings, increased control, and improved data security. By developing their own AI agents, companies can avoid relying on third-party vendors like Anthropic and reduce their costs. Additionally, companies can have more control over their AI agents and ensure that they are aligned with their business goals.

The Challenges of Building In-House AI Agents

Despite the benefits of building in-house AI agents, there are several challenges that companies must overcome. One of the main challenges is the need for significant investment in research and development. Building a high-quality AI agent requires a large team of experts and significant resources. Additionally, companies must also consider the potential risks and downsides of building in-house AI agents, including the potential for bias and the need for ongoing maintenance and updates.

The Future of the AI Industry

The fact that companies like Coinbase, Shopify, and Ramp are building their own coding agents but still paying Anthropic highlights the complexity of the AI industry. As the industry continues to evolve, it is likely that we will see more companies building their own AI agents and reducing their reliance on third-party vendors. This will require significant investment in research and development, but it will also provide companies with more control over their AI technology and improved data security.

Key points

  • Coinbase, Shopify, and Ramp have built their own coding agents.
  • All three companies still pay Anthropic for its services.
  • Building in-house AI agents can provide several benefits, including cost savings and improved data security.
  • However, building in-house AI agents can also be a complex and time-consuming process.
The Upside

If companies like Coinbase, Shopify, and Ramp continue to build their own coding agents, it could lead to significant cost savings and improved data security. Additionally, it could also lead to the development of more advanced AI models that are better suited to specific business needs.

The Downside

However, building in-house AI agents can also be a complex and time-consuming process. Companies may struggle to find the necessary talent and resources to develop high-quality AI agents, which could lead to delays and increased costs.

Originally reported at

thenewstack.io

Discernion covers the story. Read the full piece at the source.

Tagsai-agentsbankingbusinesscodingcryptoeconomyeditorialfinancegithubopen-source

Intelligence analysis by

Llama

Published

Aug 7, 2026

Source

thenewstack.io

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Topics

ai-agentsbankingbusinesscodingcryptoeconomyeditorialfinancegithubopen-source

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