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BackChinese AI Lab DeepSeek Aims to Compete with Anthropic and OpenAI in Coding Tools
Chinese AI Lab DeepSeek Aims to Compete with Anthropic and OpenAI in Coding Tools
يتطور
Decrypt21.05.2026تقنية3 dk okuma

Chinese AI Lab DeepSeek Aims to Compete with Anthropic and OpenAI in Coding Tools

نظرة سريعة

  • Chinese AI lab DeepSeek is developing 'Code Harness,' an agentic coding tool to rival Anthropic's Claude Code and OpenAI's Codex.
  • The move signifies DeepSeek's ambition to control the full AI development stack, leveraging its cost-effective V4 models.

ملخص مُنشأ بالذكاء الاصطناعي

لماذا يهم

DeepSeek, a Chinese AI lab backed by quantitative investment firm High-Flyer, is forming a new team to build 'Code Harness,' an agentic coding tool. This move directly challenges Anthropic's Claude Code and OpenAI's Codex.

حجم الخط

It started as a side project. Now it's coming for Anthropic's most prized product.

DeepSeek, the Chinese AI lab born out of quantitative investment firm High-Flyer, is forming a new team to build "Code Harness"—an agentic coding tool that would compete directly with Anthropic's Claude Code and OpenAI's Codex. The announcement came from Deli Chen, a DeepSeek engineer who posted two open job listings on X this week: a product manager and an R&D engineer.

Both jobs are based in Beijing.

Sadly for Western devs praising the remote work gospel, the company requires being based in the capital of China specifically. It’s not good enough to live in even Hangzhou, where High-Flyer, the hedge fund behind DeepSeek, was founded or Shenzhen, which is the Silicon Valley of China.

They want someone in Beijing—the symbolic and political capital of Chinese tech ambition, and the city where the government's relationship with its AI industry is the most direct, the most deliberate, and the most closely watched by Washington.

"You can call it DeepSeek Code or something," Chen wrote in the post, adding laughing emojis as if the implications weren't serious at all.

They are.

The job listings, posted the same day on High-Flyer's recruitment platform, are unusually candid about what DeepSeek is building. The team's internal formula: "Model + Harness = Agent." The product manager role specifically requires candidates to have hands-on experience with Claude Code, Codex, Cursor, GitHub Copilot, Manus, and OpenClaw—essentially a who's-who of every agentic tool DeepSeek intends to compete with. Salary for both positions is undisclosed.

Why tools matter as much as the models

During the gold rush some became rich digging for gold, others got rich selling shovels. Deepseek wants to play both sides.

Agentic coding tools—programs that don't just suggest a line of code but autonomously plan, write, test, and debug entire software projects—have become the fiercest battleground in AI. Anthropic's Claude Code is a command-line tool that lets developers hand off complex engineering tasks to an AI that keeps working without constant hand-holding. OpenAI launched Codex and most tech companies are now fighting to build the AI that sits inside every developer's terminal.

DeepSeek wants in. And it has a peculiar advantage: Its latest model, DeepSeek V4, already runs natively inside Claude Code.

The V4 lineup, released on April 24, comes in two flavors. V4 Flash—the workhorse—is built for speed and handles agentic tasks at $0.14 per million input tokens. (Tokens are the most basic unit of information handled by large language models.) V4 Pro, the more capable tier, runs at $0.435 per million tokens during an introductory promotion running through May 31. Claude Opus 4.7, Anthropic's flagship, runs at $15 per million input tokens. That’s a major budget difference for teams running continuous, loop-heavy agent pipelines.

The Code Harness move is about owning the full stack. Building a harness means DeepSeek would control the interface developers actually see and interact with—the checkpoints, the terminal commands, the rollback features, the integrations. That's where user loyalty lives and likely where the money follows.

DeepSeek has made a habit of underestimating itself loudly, then delivering. When it released R1 in January 2025, the reasoning model wiped nearly $600 billion from Nvidia's market cap in a single day—because it matched OpenAI's o1 at a fraction of the cost. Analysts called it a fluke. DeepSeek kept shipping.

No launch date has been announced—but the job information is there in case you’re interested, speak Chinese, and are willing to work out of Beijing.

أسئلة مفتوحة

  • What is the specific launch date for Code Harness?
  • What is the exact salary range for the new positions?
  • How will Code Harness differentiate itself from existing tools beyond cost?
  • What is the long-term strategy for DeepSeek in the global AI market?

مواضيع ذات صلة

This article was originally published by Decrypt.

أخبار ذات صلة

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