We detected 3,538 companies using AI coding agents. The most common industry is Software Development (42%) and the most common company size is 2-10 employees (50%). We find new customers by discovering URLs with known URL patterns through web crawling or modifications to subprocessor lists.
Note: We track companies with an AGENTS.MD file in their open-source Github repo, which indicates they use an AI coding agent (we don't know the specific one). We also track companies that use Github
Source: Analysis of Linkedin bios of 3,538 companies that use AI coding agents
Company Characteristics
i
Shows how much more likely AI coding agents customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Funding Stage: Initial coin offering
182.8x
Funding Stage: Series E
150.1x
Funding Stage: Secondary market
123.6x
Industry: Blockchain Services
33.3x
Country: OO
22.4x
Industry: Software Development
21.5x
I noticed that companies using AI coding agents fall into two distinct camps. The first is technology companies building developer tools, data platforms, or infrastructure products. These include companies like JetBrains, Databricks, DBeaver, and Directus who are creating tools that other developers use. The second camp is software development agencies and consultancies like DevSquad, datarockets, and Equal Experts who build custom solutions for clients. What unites them is that they're all in the business of writing code, whether as their product or their service.
These companies span the full maturity spectrum, but cluster in interesting ways. Many are well-funded growth-stage companies (Series A through Series J), suggesting AI coding agents appeal to companies with resources to invest in developer productivity. However, there's also a significant presence of bootstrapped, profitable companies like Doist and smaller teams under 50 people. The larger enterprises here, like Daimler Truck and UK Civil Service, are outliers, with most companies employing between 11-200 people.
🔧 What other technologies do AI coding agents customers also use?
Source: Analysis of tech stacks from 3,538 companies that use AI coding agents
Commonly Paired Technologies
i
Shows how much more likely AI coding agents customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that companies using AI coding agents are deeply technical, developer-first organizations that treat their engineering teams as core to their competitive advantage. The presence of multiple AI coding tools alongside Discord and Common Room suggests these are companies building for developers or technical audiences, where the product team itself is the primary user and often the target customer.
The pairing of Claude Code, Github Copilot, and Cursor together is particularly revealing. These companies aren't just experimenting with one AI coding tool. They're adopting multiple solutions simultaneously, which tells me their developers have autonomy to choose their own tools and the company prioritizes engineering velocity above standardization. The extremely high correlation with Reo.dev, despite its smaller absolute numbers, suggests these are early adopters willing to try emerging developer tools before they hit mainstream adoption.
Discord's presence is especially interesting because it signals a community-oriented approach. These companies likely run developer communities, participate in open source discussions, or use Discord for internal team collaboration in ways that mirror how their customers work. Common Room appearing in the stack confirms they're actively nurturing and measuring community engagement, treating community as a growth channel rather than just a support function.
Alternatives and Competitors to AI coding agents
Explore vendors that are alternatives in this category