Florida, USA, [17 February 2026]–Canopyhas completed its private testnet after recording nearly 27,000 chains created in the first 12 days, marking one of the strongest early adoption signals for an app-chain infrastructure platform this year. As of this week, more than 2,300 chains were deployed in the past 24 hours alone, underscoring accelerating builder activity ahead of the public testnet launch.
The network onboarded over 7,100 users during the private phase, with roughly 5,100 remaining active. That retention rate indicates sustained developer engagement rather than one-off experimentation, as teams continue deploying and refining application-specific chains in preparation for upcoming ecosystem milestones.
On Feb. 12, Canopy officially opened its public testnet, expanding access to the wider community. Developers can now create and deploy custom Layer-1 (L1) blockchains directly throughCanopy's live portal, removing traditional infrastructure bottlenecks that have historically slowed chain launches.
Canopy positions itself as one of the fastest ways to build, secure, and launch high-performance blockchains. Unlike legacy frameworks that require months of protocol engineering and specialised blockchain expertise, Canopy allows developers to build in familiar languages such as Go, TypeScript, Python, C#, and Kotlin.
At the center of this accelerated development rollout isCanopy Templates—a development framework built specifically for AI coding.
'Blockchain development has been far too complex for far too long. By reducing a full L1 implementation to something both humans and AI can actually understand end-to-end, we're collapsing the time between idea and deployment from months to mere minutes.'
Canopy Templates compress a complete L1 chain implementation into roughly 200 lines of readable, language-native code. These templates are intentionally concise to enable both developers and AI tools to reason about the entire system at once.
Traditional blockchain architectures often exceed AI context window limitations, restricting AI assistance to incremental edits. Canopy's 200-line structure fits comfortably within those limits, enabling AI models to participate in full-system design and iteration. The templates also eliminate the need for virtual machine–specific languages, allowing developers to work directly in mainstream programming environments without becoming master code translators.
Immutability has forced blockchain teams into slow, high-stakes deployment cycles for years. Canopy addresses this with embedded upgrade capabilities at the chain level, automating validator coordination so teams can deploy, iterate, and refine without complex migration strategies.
Andrew Nguyen, Co-Founder and CTO of Canopy, said:'The private testnet validated what we set out to achieve from day one. Developers want easier L1 deployment and management, with less friction and stronger AI collaboration. The traction we're seeing now shows that the demand we anticipated is real — and that deployment infrastructure needs to move at AI speed, not legacy blockchain speeds.'
Source: International Business Times UK
