January 28, 2026
Jishu Labs Launches Kiku Public Beta
Jishu Labs today announced the public beta of Kiku, a context-aware AI code completion engine that understands your entire codebase's architecture, patterns, and team decisions.
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press@jishulabs.comCompany at a Glance
Company
Jishu Labs, Inc.
Founded
2025
Headquarters
San Francisco, CA
Team Size
15 people
Product
Kiku - Context-Aware AI Code Completions
Users
2,400+ developers
Supported IDEs
VS Code, JetBrains, Cursor
Website
kiku.jishulabs.com
About Jishu Labs
Jishu Labs is a developer tools company building the next generation of AI-assisted software development. Our flagship product, Kiku, is a context-aware AI code completion engine that integrates with your IDE to deliver suggestions that respect your project's architecture, patterns, and team decisions.
Unlike general-purpose AI coding assistants, Kiku connects to the broader Jishu Labs ecosystem - including Kioku (institutional memory) and Kozo (structural patterns) - to understand not just what code should look like, but why your team makes the choices it does. The result is AI completions that fit naturally into any codebase, reducing review cycles and accelerating feature delivery.
Founded in 2025 and based in San Francisco, Jishu Labs serves over 2,400 developers across engineering teams of all sizes, from solo developers to large enterprise organizations.
Brand Colors
Cyan
#06B6D4
Blue
#3B82F6
Dark
#09090B
White
#FAFAFA
The Kiku logo uses a cyan-to-blue gradient and a keyboard icon. The display font is Space Grotesk. Please do not alter, recolor, or distort the logo.
Press Releases
December 5, 2025
Kiku Reaches 2,000 Active Developers in Private Beta
Kiku, the context-aware AI coding assistant by Jishu Labs, has surpassed 2,000 active developers during its private beta period, with a 94% suggestion acceptance rate.
September 1, 2025
Jishu Labs Raises Seed Funding to Build Context-Aware Developer Tools
Jishu Labs announced seed funding to accelerate development of its developer tool suite, including Kiku (AI completions), Kioku (institutional memory), and Kozo (structural patterns).
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