1046 posts · Page 59 of 88. ← Blog
How to architect wallet tiers, HD-derived deposit addresses, HSM/MPC signing quorums, and sweep flows so no one key, and no one person, can move funds.
Teaches how to architect custody: hot/warm/cold wallet tiers, HSM or MPC key custody, withdrawal approval quorum, address derivation (HD wallets), and sweep flows from deposit to cold storage.
State remembers things inside one chat; Memory is the searchable archive that lets an agent recall what you told it weeks ago.
Memory is long-term recall across sessions, distinct from per-session state: MemoryService stores and retrieves prior context, surfaced via a recall tool so an agent remembers a user over time.
How to express the classic MapReduce word-count as a five-stage workflow graph — fan-out to mappers, barrier to a shuffler, fan-out to reducers, barrier to completion.
MapReduce word-count as a five-stage workflow: fan-out to mappers, barrier to a shuffler, fan-out to reducers, barrier to completion, coordinated via shared state.
Five prebuilt multi-agent shapes — Sequential, Concurrent, Group Chat, Handoff, Magentic — and when each beats hand-wiring a graph.
Sequential, Concurrent, Group Chat, Handoff, Magentic — the five prebuilt Microsoft Agent Framework orchestrations in Python and when each beats hand-wiring a graph.
Everything in this series has been building toward a single approach to sales — one that finally makes selling something an honest engineer can respect and do well. It goes by names like consultative selling and solution selling, and its premise is simple: stop selling products and start solving problems. The salesperson becomes less a pitchman and more a trusted advisor who understands the customer's problem and helps solve it. This isn't just nicer; it's more effective, and it's the modern standard for anything beyond a simple transaction.
Everything in this series builds toward a single approach to sales — one an honest engineer can respect. It goes by names like consultative and solution selling, and its premise is simple: stop selling products and start solving problems. The salesperson becomes a trusted advisor, and this isn't just nicer — it's more effective.
A working guide to Python's function signatures — positional and keyword arguments, default values and the mutable-default trap, arbitrary-argument packing and call-site unpacking, keyword-only and positional-only parameters, and treating functions as first-class values.
A working guide to Python's function signatures — positional and keyword arguments, default values and the mutable-default trap, packing with *args/**kwargs, unpacking at call sites, keyword-only and...
What a Go pointer actually is, why there's no pointer arithmetic, `new(T)` versus `&T{}`, the addressability rules that decide what `&` will even compile against, and when reaching for a pointer helps versus when it just adds indirection and GC pressure.
What a Go pointer actually is, why there's no pointer arithmetic, `new(T)` versus `&T{}`, the addressability rules that decide what `&` will even compile against, and when reaching for a pointer helps...
How Original Credit Transactions move money onto a card in near real time — and why pushing is a different animal from pulling.
How OCT/push-to-card (Visa Direct, Mastercard Send) moves money to a card in near real time, eligibility/limits, and reversal handling.
A clear-eyed look at trust models, who signs what, rails, credential handling, and settlement — and why these four overlap more than they compete.
A clear-eyed comparison across trust model, who signs what, payment rails supported, credential handling, settlement, and best-fit use cases.
How to combine a deterministic rules engine with an ML risk model in a single decision: rule precedence, score bands, shadow mode, and champion/challenger evaluation with feedback labels.
Teaches how to combine a deterministic rules engine with an ML risk model in one decision path: rule-precedence and overrides, model score bands, shadow mode, and champion/challenger evaluation with feedback labels.
How a risk-driven layer escalates from silent approval to OTP, biometric, or 3DS challenge — holding a pending-challenge state and resuming the original transaction once the customer clears it.
Teaches how to build risk-based step-up auth: an orchestration layer that escalates from silent to OTP/biometric/3DS challenge based on risk signals, with pending-challenge state and resumable transaction context.
How to ingest many rate feeds, derive a trustworthy mid, defend against stale prices, and quote a locked customer rate that survives a settlement failure.
Teaches how to build an FX pricing service: ingesting multiple rate feeds, mid-rate derivation, staleness/circuit-breaker handling, per-segment spread/markup, and rate-lock quotes with expiry for customer conversions.