Microsoft backs no-code AI builder for blockchain apps, signaling push into onchain development tools

Thursday, 23 April 2026 at 18:09

Microsoft’s venture arm is backing a new class of AI development tools that could lower the barrier to building blockchain-based applications, with implications for how software gets built, who builds it, and where applications run.

A no-code layer for onchain applications

Microsoft’s venture unit M12 is supporting the public rollout of Dreamspace, an AI-powered application builder designed to let users describe software in plain language and automatically generate working apps. The key distinction is where those apps run: directly on Coinbase’s Layer 2 network, Base.

Dreamspace aims to remove both coding and blockchain complexity from the development process. Users input a description of what they want to build, and the platform generates a functional application, including smart contract logic, without requiring manual programming.

This reflects a broader shift already underway in AI: software creation is moving from structured coding toward intent-based generation. What is new here is the combination with onchain execution, where applications are deployed in a decentralized environment rather than traditional cloud infrastructure.

Infrastructure strategy: data, verification, and scale

Underneath Dreamspace sits Space and Time, a blockchain-based data layer focused on verifiable data processing. Microsoft previously led a $20 million investment in the company in 2022, and the integration signals a continued interest in infrastructure that combines AI with cryptographic verification.

Space and Time uses zero-knowledge proofs to validate data queries, allowing applications to rely on tamper-resistant datasets without trusting a central intermediary. That matters for financial, enterprise, and regulatory use cases where auditability is a requirement, not an option.

The integration also connects to Microsoft’s broader data strategy. Its Fabric platform has already incorporated Space and Time’s data feeds, suggesting that Dreamspace is not a standalone experiment but part of a wider attempt to link AI development, data infrastructure, and decentralized systems.

The underlying bet is clear: if the data layer can handle verification and scaling, developers can focus on application logic or, increasingly, just the outcome they want.

Competition is forming around AI-native development

Dreamspace is not emerging in isolation. Coinbase has also supported AgentKit, a toolkit that gives AI agents wallets and the ability to interact directly with blockchain systems. This points to a growing ecosystem where AI systems are not just generating code, but acting as autonomous participants in digital economies.

At the same time, general-purpose AI models such as Anthropic’s Claude are becoming increasingly capable of writing production-level software, while wallet providers like Trust Wallet, backed by Changpeng Zhao, are introducing agent-like capabilities.

The convergence is notable:

AI models generate applications
Blockchains provide execution and ownership layers
Wallets act as identity and transaction interfaces
Data layers ensure verifiability

Dreamspace sits at the intersection of all four.

Early traction and global reach

The platform, which launched in beta last year, has reportedly been used to build more than 34,000 applications. That includes usage by students in markets like Indonesia, highlighting a secondary implication: lowering technical barriers expands the geographic distribution of developers.

This matters for both platform competition and labor dynamics. If application development becomes accessible to non-engineers globally, the supply of builders increases, and the definition of a “developer” shifts.

However, the quality, security, and maintainability of AI-generated, onchain applications remain open questions. Smart contract vulnerabilities and governance risks do not disappear when abstraction increases, they become harder to see.

What this signals for Microsoft and the market

For Microsoft, the move is less about blockchain ideology and more about positioning across emerging infrastructure layers:

AI as the interface for building software
Verified data as the foundation for trust
Hybrid systems that combine centralized and decentralized components

Backing Dreamspace allows Microsoft to participate in this stack without directly operating a public blockchain platform.

For the broader market, the signal is more structural. The combination of AI-generated applications and blockchain execution environments suggests a shift toward:

Faster application deployment cycles
Lower technical barriers to entry
New security and governance challenges
Increased competition at the platform layer

What to watch next

Several uncertainties will determine whether this category matures or fragments:

Whether AI-generated smart contracts can meet enterprise-grade security standards
How regulators approach applications built and deployed with minimal human oversight
Whether developers trust abstraction layers over direct control
Which platforms capture the developer ecosystem early

If tools like Dreamspace gain traction, the center of gravity in software development could move further away from traditional coding environments toward intent-driven systems that span AI, data, and decentralized infrastructure.

That shift would not just change how software is built, but who gets to build it, and where economic value is captured.