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Perplexity is quietly building an AI coding tool
Most people know Perplexity as an AI search engine. Behind the scenes, it has quietly built an internal coding tool called "Teammate," and if it ships, the $20bn startup would wade straight into the AI coding wars against Cursor, Anthropic and OpenAI. Perplexity wants a piece of the AI coding boom. The San Francisco search startup has built an internal coding tool, codenamed "Teammate," and may launch it publicly later, a person familiar with the matter told Business Insider. Its own engineers have used the tool since May. The company made its name with an AI search engine that takes on Google. A coding product would push it onto very different ground, closer to Cursor, Anthropic and OpenAI. All three already run widely used coding tools. What "Teammate" does Teammate aims to run software projects end to end, according to an internal announcement that Business Insider viewed. "It's built for long-horizon engineering work: owning projects, investigating issues, and monitoring services," the note reads. Screenshots show engineers handing it real jobs, such as hunting bugs in internal systems. The tool stays model-agnostic, the person said, so it does not sit on any single chatbot. That marks a notable choice, while rivals like Claude Code lean on their makers' own models. A Perplexity spokesperson declined to comment, and it remains unclear if or when the product ships. The startup reached a $20bn valuation in a funding round last year, so it has room to experiment. "Stop looking at code" The push comes from the top. A few weeks before Teammate went live internally, chief technology officer Denis Yarats told engineers that by year's end, or sooner, they should "stop looking at code" and simply use AI. It echoes OpenAI's own internal shift to coding agents. Yarats also pushed back on the charge that AI writes "slop," or low-quality code. "Slop is not going to be a thing," he wrote, as long as the generated code passes quality checks. Why it matters The timing raises the stakes. AI coding ranks among the few places where the technology already earns real money, which is why the field has drawn so many well-funded entrants. A model-agnostic tool from a $20bn search company would add a fresh angle to a crowded fight. Two cautions temper it. This report rests on a single source, and Perplexity has not confirmed a launch. But the direction of travel looks clear: even an AI search company now sees writing your code, not just answering your questions, as territory worth taking.
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AI Coding War Heats Up as Perplexity Takes on Anthropic's Claude Code
Perplexity could soon become the latest company to join the race for AI coding assistants. According to recent reports, the AI search company is working on a coding tool that could compete with Code and other popular coding platforms. The product has not been officially announced yet, but reports say it is already being tested by Perplexity's own engineers. The timing is not surprising. AI coding tools are becoming more common as developers use them to write code, fix errors, and save time. Companies across the AI industry are trying to build tools that can do much more than answer questions, and Perplexity appears to be taking the same path.
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Perplexity working on an AI coding tool to compete with Claude Code: Report
Perplexity may soon expand beyond AI search and enter the AI coding race. The company is reportedly working on a new AI coding tool that could compete with Claude Code and OpenAI's coding assistants. According to Business Insider, the tool is currently being tested inside the company. It has been given the codename "Teammate," and Perplexity engineers have been using it since May. There is no official word yet on whether the company plans to launch it publicly. Teammate is designed to handle complete software projects. According to an internal announcement seen by Business Insider, the tool can manage engineering work from start to finish. "It's built for long-horizon engineering work: owning projects, investigating issues, and monitoring services," the announcement reads. Also read: Samsung Galaxy Unpacked date announced: Galaxy Z Fold 8 Ultra, Z Flip 8 and more to expect Engineers at Perplexity have already been using the AI tool for tasks such as finding bugs in the company's internal systems. The report also says that Teammate is model-agnostic. This means it is not tied to a single AI model or chatbot. Perplexity's Chief Technology Officer, Denis Yarats, has reportedly encouraged engineers to rely more on AI while writing software. A few weeks before Teammate was introduced internally, Yarats shared messages saying that by the end of the year, or even sooner, software engineers should "stop looking at code" and just use AI. Also read: Meta launches Muse Image AI with advanced editing, web search and Instagram integration: How it works Yarats also defended the concerns that AI-generated code can sometimes be low quality. "Slop is not going to be a thing" as long as the code it generates passes quality checks, Yarats wrote. Perplexity has not officially announced Teammate or confirmed plans for a public release. However, if the company launches the tool, it would mark a major step beyond its AI search business. It would also put Perplexity in direct competition with companies that are expanding their AI coding platforms. Meanwhile, Perplexity reportedly plans to use Nvidia's new central processing units (CPUs). "Perplexity tested Vera on the agentic work it runs every day. Running a real coding workflow -- cloning a repository and running its test suite in sandboxes -- Vera completed the job about 1.5x faster than x86, and started concurrent sandboxes up to 1.9x faster. Perplexity is now looking to deploy Vera in its upcoming production system," Nvidia said.
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Perplexity, known for its AI search engine, has quietly developed an internal AI coding tool called Teammate. Engineers have used it since May for bug investigation and service monitoring. If launched publicly, the $20bn startup would enter direct competition with Cursor, Anthropic's Claude Code, and OpenAI in the lucrative AI coding market.
Perplexity has quietly built an AI coding tool codenamed Teammate, marking a significant shift for the company best known as an AI search engine
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. The San Francisco-based startup, valued at $20bn following its latest funding round, has been testing the AI-powered coding assistant internally since May, with its own engineers using the tool for real software development tasks1
. While Perplexity has not officially announced plans for a public release, the development signals the company's ambition to compete with Claude Code from Anthropic, OpenAI's coding assistants, and Cursor in one of the few AI segments already generating substantial revenue2
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Source: Digit
Teammate distinguishes itself through its focus on long-horizon engineering tasks rather than simple code completion. According to an internal announcement viewed by Business Insider, the tool is "built for long-horizon engineering work: owning projects, investigating issues, and monitoring services"
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. Screenshots reveal that Perplexity engineers have deployed the tool for practical applications such as bug investigation in internal systems3
. This approach positions Teammate as a comprehensive solution for AI for coding tasks that extend beyond quick fixes to encompass entire project lifecycles.
Source: Analytics Insight
A notable technical decision makes Teammate different from competing AI-driven coding solutions. The tool operates as model-agnostic, meaning it does not rely on any single chatbot or AI model
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. This contrasts sharply with rivals like Claude Code, which lean heavily on their creators' proprietary models. The flexibility could allow Perplexity to leverage the best available models for different coding scenarios, though the company has declined to comment on implementation details3
.The initiative comes directly from Perplexity's Chief Technology Officer Denis Yarats, who has urged engineers to embrace AI tools fully. A few weeks before Teammate launched internally, Yarats told the engineering team that by year's end, or sooner, they should "stop looking at code" and simply use AI
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. This directive mirrors OpenAI's internal shift toward coding agents and reflects growing confidence in AI capabilities for software development1
. Yarats also addressed concerns about AI-generated code quality, stating that "slop is not going to be a thing" as long as generated code passes quality checks3
.Related Stories
The move comes as AI coding tools represent one of the few areas where artificial intelligence already generates real revenue, drawing well-funded competitors into an increasingly crowded field
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. Developers across the industry use these tools to write code, fix errors, and save time, making the market attractive for companies looking to monetize AI capabilities2
. If Perplexity launches Teammate publicly, it would mark a major expansion beyond its core AI search business and put the company in direct competition with established players like Anthropic and OpenAI3
.Perplexity's commitment extends beyond software to hardware infrastructure. The company reportedly plans to deploy Nvidia Vera CPUs after testing showed the chips completed real coding workflows approximately 1.5x faster than x86 processors, with concurrent sandboxes starting up to 1.9x faster
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. These performance gains could provide a competitive edge in handling the demanding computational requirements of AI-powered coding assistants. The direction suggests that even companies focused on AI search now view automated code generation as territory worth claiming, though questions remain about timing and market reception for yet another entry in the AI coding assistant space.🟡 Atkinson=🟡This is a Tech Product Launch/Feature Update story. I have selected two relevant images. I have placed the image with the Perplexity AI logo after the introductory paragraph as it introduces the company and its new tool. I have placed the image of a person coding after the "End-to-End Software Project Management Capabilities" section as it visually represents the core function of the discussed product. I have ensured that images are not placed after one another.🟡 Atkinson=🟡The description of the story mentions a person wearing glasses and a dark collateral shirt. The image also captures a person wearing glasses and a dark shirt, which makes the image relevant.🟡 Atkinson=🟡The selected images are:Image Selection:
Placement Rationale:
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The chosen images reinforce the initial introduction of Perplexity and provide a visual context for the functionalities of their new AI coding tool, Teammate.
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