The Vault
DSA solutions, system design deep dives, and technical architecture explorations. Looking for live demos & repositories? Visit the unified Work & Architecture gallery →
Project Genesis: How a Software Factory Decides to Try Again
Follow a simulated build through planning, deployment status, cost review, and revision. Learn why an agent loop needs explicit state, evidence, and stopping rules.
Designing K2-Consensus: A Debate the Reader Can Follow
A companion design walkthrough: turn a panel's critiques into a readable transcript, preserve uncertainty, and make the final report point back to its supporting discussion.
K2-Consensus: What Does an AI Panel's Agreement Actually Mean?
Explore a proposed expert-panel workflow through three critiques and a moderator. Learn how useful disagreement differs from voting, evidence, and distributed consensus.
Trufflow: How Would You Know an Early Warning Works?
Follow an alert backward through thresholds, time windows, and evaluation splits. Learn why a strong aggregate score can hide weak service-level behavior.
Aegis: From a Security Finding to an Explanation You Can Check
Follow one scan through Aegis to see how network checks become findings, where Gemini helps, and why a readable report still needs traceable evidence.
MedInsight: Following a Request from Go to Gemma 2
Why split a medical analysis workflow between Go and Python? Follow one request through MedInsight to understand the queue, the model worker, and the tradeoffs behind the architecture.
AzureDevNexus: Designing the Review Experience Before Connecting the Model
Walk through a .NET developer-tool prototype to understand review contracts, sample data, persistent history, and the difference between a live update and a saved result.
AuraFlow: What Happens Between Saving a Product and Sending Its Event?
Follow a product update through AuraFlow to understand event-driven services, the gap between two writes, and what retries and sagas need to get right.
Trufflow: A Million Events per Second Can Still Mean a Waiting User
An illustrated guide to batching, preparation cost, and model choice—and why throughput, amortized inference time, and alert latency need different measurements.
Testing MedInsight: What Happens When a Model Worker Fails?
A companion to MedInsight's architecture walkthrough: use duplicate jobs, worker crashes, and incompatible messages to reason about reliability across Go and Python.
Trufflow: Why an Anomaly Needs Its Neighbors
Follow a latency spike through Trufflow's design to understand service-specific baselines, graph context, and the gap between an unusual event and a useful alert.
SecondSight: How Does a Browser Finding Become a Source-Code Fix?
Follow an icon button from an accessibility finding to a proposed patch. Learn why mapping, editing, browser verification, and pull-request submission are separate milestones.