NDNA

Strawberry Computer is the latest AI-powered tool promising to make building an app as easy as describing it. But as exciting as “vibe coding” sounds, it raises bigger questions: what happens when generating code becomes effortless, but building good products remains difficult?

In this episode, we look beyond the hype to explore the risks and realities of AI-built software—from the homogenization of design to the widening security gap, highlighted by the recent Tea app hack. We argue that democratized development will flood the world with more software than ever, but only those who marry speed with craft—taste, security, and rigorous testing—will build products that last.

Join us as we examine whether platforms like Strawberry Computer will set new standards for trustworthy, high-quality apps, or if we’re just accelerating toward a future filled with more of the same—only faster.

For years, moving value across blockchains felt like crossing a rope bridge in the jungle — slow, nerve-wracking, and one misstep away from disaster. Billions have been lost to bridge hacks like Wormhole, Ronin, and Nomad. Even when they worked, the experience was clunky, expensive, and fragmented.

In this episode, we explore NEAR Intents, a complete rethink of cross-chain value transfer. Instead of locking funds in a risky vault and minting wrapped tokens, you simply declare the outcome you want — and an open network of solvers competes to make it happen.

You’ll hear:

• How traditional bridges worked — and why they failed

• The real cost of bridging, even without hacks

• How NEAR Intents flips the model with a “declare the outcome” approach

• Why every new chain onboarded makes the whole network stronger

• What this means for builders, users, and the future of chain abstraction

Whether you’re a developer tired of brittle SDK integrations or a user who’s lost patience with cross-chain headaches, this conversation will change how you think about moving value in crypto.

What happens when capital—not code—threatens one of crypto’s most private networks? In this episode, we dig into the startling “economic attack” on Monero by Qubic—a mining project turning idle AI cycles into Monero hashpower. Could this push toward a 51% takeover through financial incentives spell disaster for XMR’s integrity?

We break down:

• How a $7K–$10K/day incentive campaign could outbid Monero’s security budget of ~$130K/day  

• Qubic’s rise to controlling ~27–40% of Monero’s hashrate—and the fallout as it dropped to seventh after community blowback  

• The Monero community’s response: calls to migrate to decentralized pools, proposals for stealth mining mode, and debate over a potential hard fork  

Join us for a deep dive on crypto incentives, network security, and what this crisis reveals about proof-of-work resilience. If you care about privacy coins or decentralization, this episode is essential listening.

July 25, 2025

In this week’s episode of Near Developer News Analysis, Joe Spano digs into three pivotal developments that reveal how NEAR is evolving from a playful prototype into a production powerhouse—while highlighting the new trade-offs developers must master:

• Forced Inclusion (NEP-615)

  Learn how every validator can now carry a “must-include” list of transactions, turning NEAR’s sharding from a single-point censorship risk into a transparent, collective safeguard.

• Shade Agents Orchestration

  Fully on-chain bots unlock decentralized automation—but without a coordinating “master agent,” you risk unmanageable sprawl. Discover why building an orchestration layer is the next frontier for on-chain autonomy.

• Dynamic, Usage-Linked Emissions

  One-off inflation cuts are nice headlines; adaptive issuance tied to transaction volume, active users, and fee burns is real monetary innovation. We explore how an on-chain Usage Oracle could align NEAR’s token supply with actual demand.

This week on NDNA:

• Why Intear Wallet and SurgeSwap might be the future of Web3 UX — by not making it feel like Web3.

• A sharp take on the Roman Storm trial and why developers need to rethink privacy as a default, not an add-on.

• The role of better tooling — not just for faster development, but for enabling new classes of products.

Plus: a call to action for NEAR developers to make privacy standardized in SDKs, not just left to the advanced devs.

If you care about UX, developer empowerment, and privacy by design — hit play.

NEAR has quietly built one of the most developer-ready stacks for AI-native applications—TEEs, intent-based UX, yield/resume smart contracts. But where are the flagship products? In this episode, we unpack why NEAR’s AI and agentic tooling is far ahead of the market, how it aligns with regulatory tailwinds, and what needs to happen to shift from technical potential to product reality.

Featuring examples like Rhea Finance’s onchain AI agent and NEAR Intents’ 24M volume day, this is the start of a weekly deep dive into the infrastructure shaping the future of open, user-owned AI.