Fintech & Crypto Intelligence
From Bitcoin fundamentals to stablecoins and capital markets — plain-English explainers for developers, investors, and curious minds.
163 articles · 6 series
Start here — plain-English guides that build your understanding from the ground up. No prior knowledge needed.
The bridge from crypto to property: tokenised real estate, fractional ownership, and RWAs. How blockchain is quietly reshaping one of the oldest asset classes in the world.
The two big consensus mechanisms explained simply. Bitcoin vs Ethereum, the energy debate, and how the network decides who gets to add the next block — without a central authority.
The next step in the mental model: how blocks link into a chain, what hashing does for integrity, and how the network agrees on one history — without a bank in the middle.
Not 'how to buy Bitcoin' — but why someone invented digital money in the first place. The 2008 crisis, banks, trust, and the problem crypto was built to solve.
A beginner-friendly guide to Bitcoin — what it is, why it was created, how it works, and why millions of people consider it one of the most important financial inventions in history.
DeFi, stablecoins, CBDCs, and the broader crypto ecosystem — what comes after understanding the basics.
How L2 networks partner with stablecoin issuers to share reserve income and accelerate distribution through revenue-sharing models.
Open USD offers partners equity instead of fees. How does shared ownership change stablecoin incentive design and adoption dynamics?
Standard Chartered's $10 ARB forecast hinges on tokenization growth and TradFi migration—here's what the model assumes and what builders need to watch.
Uniswap v4's StablePair Hook adjusts fees dynamically for stablecoin pairs, capturing value that fixed-rate pools miss in low-volatility markets.
The real risk in tokenized equities is not that they are digital. It is that a fragmented market could recreate the operational bottlenecks that once caused the paper crisis.
The tokenization market is looking more like the early ETF era than a software story. The key issue is regulatory clarity, not raw engineering capability.
AI, tooling, and the future of engineering — how LLMs and AI-native tools are changing how we build.
Anthropic's accidental visa application revealed how AI agents can trigger real actions on government systems—and what builders must do differently.
Sam Newman on when microservices make sense, why most distributed systems fail the same ways, and how to define service boundaries that last.
As LLMs write more code, engineers face a tension: optimize for machines or humans? Explore how readability evolves in AI-augmented development.
Why liability for AI agent behavior demands rethinking architecture, from sandboxing and token budgets to enforcement layers beyond the model itself.
Build a pipeline that generates animated pixel art from photos using Claude, HTML5 canvas, and Playwright browser automation.
AI agents deployed without security rigor create exploitable vulnerabilities today, not tomorrow. Here's how to ship fast without breaking prod.
Shorter reads on fintech infrastructure, AI tools, and capital markets developments.
Netflix's GenRec combines LLMs with collaborative filtering to personalize recommendations at scale, using hybrid architecture and careful prompt design.
Infrastructure providers managing tokenized assets earn fees on every trade and loan, potentially outpacing Bitcoin and Ether through sustained revenue capture.
Kazakhstan's Tether partnership reveals how central banks outsource stablecoin tech instead of building CBDCs from scratch.
Visa's APAC research shows stablecoins replacing speculation with payments and wealth portfolios—here's what builders need to understand.
BlackRock is moving beyond tokenizing single assets to tokenizing entire portfolios—enabling real-time rebalancing and unified custody on-chain.
EU crypto firms are lobbying to reshape MiCA rules on derivatives and stablecoins—here's what's at stake for builders and global compliance.
How financial infrastructure actually works — payment rails, settlement systems, and the engineering beneath fintech products.
How distributed database architects balance consistency, replication, and fault tolerance at scale—lessons from real production systems.
Core distributed systems papers that shaped blockchain infrastructure—from Byzantine fault tolerance to Lamport clocks and state machines.
Learn how to architect resilient systems around LLM APIs through retry logic, circuit breakers, validation layers, and rate limiting patterns.
The evolution from cron jobs to distributed schedulers shows how modern background processing added reliability, retries, and operational control for real systems.
The paper on agentic context management frames memory and token cost as design decisions, not just optimization tweaks, with implications for long-running AI systems.
Researchers found a cross-model vulnerability that let them recover hidden reasoning traces from proprietary models by replaying encrypted outputs across model families — a reminder that private reasoning is only as strong as its weakest key.
Deep dives, tool reviews, and market reads with an opinionated fintech lens.
BlackRock deepened Aladdin support for Ethena products including USDe, a $100M BUIDL liquidity facility via Securitize, and after-hours conversions between tokenized Treasuries and stablecoins.
State Street, Fidelity, and Invesco launched reserve products for stablecoin issuers within weeks. The fight for stablecoin treasury yield is moving to traditional asset management.
Z.ai's MIT-licensed GLM-5.2 tops open-weights benchmarks with a 1M context window. A practical read on where it fits regulated engineering work — and where it doesn't.
The public story about LLMs in fintech is mostly chatbots and roadmap slides. The real production work is quieter, more interesting, and built on a stack that does not look like the demos.
A working engineer's comparison of the three AI coding tools most teams are deciding between in 2026 — what each one is genuinely good at, where the marketing falls apart, and how to pick based on how you actually work.
The first wave of BI tools assumed humans were the user. The second watched AI agents bypass them entirely. BitBoard is betting the workspace itself should be the primitive both can share.
Banks spent years debating Angular, then React. AI tooling is moving faster than any technology cycle the industry has seen — and most institutions aren't ready for what comes next.