1290 posts · Page 73 of 108. ← Blog
Track collateral valuation, loan-to-value, margin calls, and liquidation triggers as one auditable state machine.
Track collateral valuation, loan-to-value, margin calls, and liquidation triggers.
token streaming, the accumulate-and-reconcile consumer pattern, and full-duplex live streaming for voice
Consuming output as it is produced: partial events and token streaming, the accumulate-and-reconcile consumer pattern, and bidi/live streaming for voice and interactive UIs.
How a workflow graph forms a cycle: two executors feed each other until one yields an output — the workflow analogue of a while-loop.
A workflow graph is not a DAG: two edges form a GuessNumber to Judge cycle that runs a binary search and exits only when Judge yields an output. The while-loop analogue.
Wrap a typed Go function as a tool, let the model call it, and compose whole agents as tools.
Wrap a typed Go function as a tool with functool.MustNew, let the model call it, and compose whole agents as tools with agenttool.New.
Deep learning conquered images and language, and it's made real inroads into forecasting — RNNs, then transformers, then specialized foundation models for time series. But forecasting is also where deep learning's dominance is most contested, because simple classical methods keep holding their own. This post covers the deep-learning approaches to time series, what they're genuinely good for, and the honest, humbling reality of when they actually beat the simpler alternatives.
Deep learning made inroads into forecasting — RNNs/LSTMs, temporal CNNs, transformers, and emerging time-series foundation models — and genuinely shines with many long related series and complex multivariate dynamics. But the humbling reality: for individual modest-length series, classical methods and simple ML often match or beat it. Not a default.
Of all the marketing disciplines, content marketing is the one engineers are most naturally suited to and least resistant to — because it isn't selling, it's teaching. You create something genuinely useful (an article, a guide, a tool), people find it when they need it, they learn to trust you, and some become customers. It's honest, it compounds, and it plays directly to a technical builder's strengths. For technical products, content marketing is often the single most effective and authentic marketing channel there is.
Of all the marketing disciplines, content marketing is the one engineers are most suited to and least resistant to — because it isn't selling, it's teaching. You create something genuinely useful, people find it when they need it, they learn to trust you. It's honest, it compounds, and for technical products it's often the most effective channel there is.
How Go attaches behavior to types without classes — the receiver, the value-versus-pointer decision, method sets and what they mean for interfaces, and the addressability rules that trip people up when a value lives in a map.
How Go attaches behavior to types without classes — the receiver, the value-versus-pointer decision, method sets and what they mean for interfaces, and the addressability rules that trip people up when a...
Why fintechs keep a transaction-grain subledger separate from the accounting general ledger, and how the posting, aggregation, and tie-out actually work.
Why fintechs keep a high-volume subledger separate from the GL, posting rules, summarization/aggregation, and period-close handoff.
Model variable recurring payments and metered/subscription billing with proration, treating the mandate — not the retry loop — as the object that actually has state.
Model variable recurring payments and metered/subscription billing with proration, distinct from retry logic.
From BIN and program configuration through card production, HSM-backed PIN generation, and the real-time authorization controls engine.
Build the issuer side: BIN/program config, card production, PIN generation via HSM, and real-time authorization controls.
One reference model of every party in a card transaction — cardholder, merchant, gateway, acquirer/processor, scheme, and issuer — and the settlement path that moves the real money back the other way.
One reference map of who does what in a card payment: cardholder, merchant, gateway, acquirer/processor, scheme, issuer, and the settlement return path.
How an agent actually runs — a Runner drives an invocation and hands you back a stream of events, not a single answer.
How ADK runs an agent: the Runner drives an invocation that yields a stream of Event objects — content, tool calls, state deltas, control signals. The event loop explains streaming, callbacks, and state.