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NinjaTech AI and Cerebras Systems Launch Fast Deep Coder: A Technical Breakthrough in AI-Assisted Software Development

NinjaTech AI, a Silicon Valley-based agentic AI company, in partnership with Cerebras Systems announced the launch of Fast Deep Coder, a revolutionary development solution that accelerates software creation by 5-10x compared to traditional coding workflows. This breakthrough follows the company’s recent release of Fast Deep Research and represents NinjaTech’s commitment to transforming knowledge work through unprecedented AI speed.

Fast Iteration Cycles Keep Developers in Flow

Fast Deep Coder pairs a Cerebras-accelerated reasoning model with NinjaTech’s SuperNinja VM environment that enables developers to build, run, fix, and ship code at speeds previously unattainable. By reducing iteration cycles from 10-15 minutes to just 1-2 minutes, Fast Deep Coder allows developers to maintain their creative flow, test more ideas, and evolve designs while context remains fresh.

Also Read: AiThority Interview with Dr. Petar Tsankov, CEO and Co-Founder at LatticeFlow AI

Revolutionary Architecture That’s Transforming Development

The technology provides several advantages to organizations and developers focused on rapid, iterative coding.

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– Accelerated Iteration: The plan-code-validate loop runs 5-10x faster than traditional AI coding solutions.
– Dedicated VM: Each thread has a dedicated cloud environment with pre-configured development tools, freeing up local developer machine resources, allowing them to stay agile and responsive to parallel tasks.
– End-to-End Visibility: Complete transparency into code execution, logs, and test results.
– Persistent Context: Project states and logs are maintained between iterations.
– Secure: VM-based execution environment allows for proper security boundaries
– GitHub Integration: Native support for branching, commits, and pull requests.

Fast Deep Coder is capable of delivering substantial business benefits across multiple dimensions by directly reducing development costs, accelerating time-to-market, enhancing resource utilization, all while improving product quality.

Speed Without Compromising Quality

Fast Deep Coder (Qwen3-480B) was evaluated against SWE-Bench standards (verified at 500 iterations), scoring 69.6%, this is on par with Sonnet 3.7 (70.3%) and ahead of Gemini 2.5 Pro (63.2%). What makes this achievement particularly remarkable is that Fast Deep Coder delivers these results while operating at substantially faster inference speeds, making it the optimal choice for development teams that require both accuracy and rapid iteration cycles.How It Works

Fast Deep Coder leverages Cerebras’ wafer-scale inference technology to keep the plan-code-validate loop responsive. The technology runs exclusively within SuperNinja, an AI agent coupled with a dedicated virtual machine, allowing it to develop code, run editors, shells, and more with full observability.

Also Read: Developing Autonomous Security Agents Using Computer Vision and Generative AI

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

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