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Lattice Advances FPGA Design with New Leadership AI-Driven Development Tool, Lattice Prompt

Lattice Semiconductor (LSCC) launched Lattice Prompt, an AI-powered FPGA development tool for small and mid-range FPGAs that enables engineers to work across the full design flow using natural language.

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HILLSBORO, Ore.--(BUSINESS WIRE)-- Lattice Semiconductor (NASDAQ: LSCC), the low power programmable and platform firmware leader, today introduced a new leadership AI-powered FPGA development tool for small and mid-range FPGAs that redefines how FPGA developers work across the full design flow. Lattice Prompt pairs with AI agentic tools developers already use, combining them with Lattice design tools, knowledge base, and documentation to turn natural language inputs into validated responses, dramatically accelerating FPGA development while optimizing design performance and capability.

"Accelerating time-to-market demands and rising design complexity are putting mounting pressure on FPGA developers to do more with every design cycle," said Esam Elashmawi, Chief Strategy and Marketing Officer, Lattice Semiconductor. "Lattice Prompt gives developers AI-assisted access to the full design flow, grounded in Lattice's validated knowledge, so they can focus on what matters most: building differentiated systems."

Lattice Prompt: AI-Assisted FPGA Development
Enabling developers to work across the full FPGA design flow in natural language, Lattice Prompt connects to their choice of large language model and agentic Integrated Development Environment (IDE) via open Model Context Protocol (MCP), orchestrating Lattice Radiant® automatically in the background.

Built on Lattice documentation, datasheets, and knowledge base, Lattice Prompt grounds AI responses for more accurate and intelligent design decisions. Lattice Prompt equips customers with:

  • Productivity and optimization
    • Productivity gains of 10X or more on common design tasks
    • Optimized performance and capacity within the FPGA
  • Full design flow coverage
    • Natural language access to simulation, synthesis, map, place and route, timing analysis, and bitstream generation
    • Automatically generates design reports and documentation saving developers time to focus on areas of domain expertise.
  • Model and IDE flexibility
    • Works with the developer’s choice of large language model and agentic IDE, including Claude Code, Cursor, Visual Studio Code, and others via open MCP

Lattice Prompt is available as a free download today and is compatible with the latest release of Lattice Radiant design software.

Supporting Resources

About Lattice Semiconductor
Lattice Semiconductor (NASDAQ: LSCC) is the low power programmable and platform firmware leader. We solve customer challenges from the Edge to the Cloud, in the growing Compute, Communications, Industrial, and Embedded markets. With the addition of AMI's industry-leading, silicon-neutral platform firmware and infrastructure manageability solutions, Lattice now delivers the industry's most complete secure management and control platform for cloud and AI data center infrastructure. Our technology, long-standing relationships, and commitment to world-class support let our customers quickly and easily unleash their innovation to create a smart, secure, and connected world. For more information about Lattice, please visit www.latticesemi.com and follow us via LinkedIn, X, YouTube, Facebook, WeChat, and Weibo.

Lattice Semiconductor Corporation, Lattice Semiconductor (& design), and specific product designations are either registered trademarks or trademarks of Lattice Semiconductor Corporation or its subsidiaries in the United States and/or other countries. The use of the word “partner” does not imply a legal partnership between Lattice and any other entity.

GENERAL NOTICE: Other product names used in this publication are for identification purposes only and may be trademarks of their respective holders.

MEDIA CONTACT:
Sophia Hong
Lattice Semiconductor
503-268-8786
Sophia.Hong@latticesemi.com

INVESTOR CONTACT:
Rick Muscha
Lattice Semiconductor
408-826-6000
Rick.Muscha@latticesemi.com

Source: Lattice Semiconductor

Key Terms

fpga technical
A field-programmable gate array (FPGA) is a type of computer chip whose internal wiring can be changed after it is made, allowing engineers to program custom hardware functions without designing a new chip. For investors, FPGAs matter because that flexibility lets companies quickly adapt products to new software, standards, or customer needs—like a toolbox that can be rearranged to build different machines—so demand and pricing can shift with trends in data centers, telecommunications, AI, and specialized electronics.
large language model technical
A large language model is a computer system trained on vast amounts of text to understand and generate human-like writing, like a very well-read virtual assistant that can summarize, draft, translate, or answer questions. Investors care because it can change how businesses operate and compete—boosting productivity, cutting costs, or enabling new products—while also creating risks around accuracy, regulation, and security that can affect revenue and valuation.
model context protocol technical
A model context protocol is a set of rules or guidelines that determine how a financial model interprets and applies information within a specific situation. It helps ensure consistent and accurate analysis by clarifying what data or assumptions are relevant in a given scenario. For investors, it provides clarity on how predictions or assessments are made, increasing confidence in decision-making.
bitstream generation technical
The process of producing a structured sequence of binary digits (ones and zeros) that represents digital content, firmware, media or configuration data so it can be transmitted, stored, or loaded into hardware. It covers the encoding, packetizing or compiling steps that turn source information into a deterministic bitstream suitable for networks, storage devices or programmable chips. Investors care because bitstream generation affects product interoperability, performance, deployment speed and operational costs—like converting a manuscript into ready-to-print pages for distribution.

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