Understand a system
See a domain as an operational whole before following its implementation seams.
LKCI Engineering Field Guide
Explore source-backed architecture stories, reusable operating patterns, and field notes from building composable systems.
Choose a question
See a domain as an operational whole before following its implementation seams.
Trace how intent moves through automation, review, failure, and repair.
Find durable boundaries for data, services, jobs, integrations, and UI surfaces.
Review source-backed context and the decisions that support an architectural claim.
engineering-practice · field-note
This inaugural note records a week in which the engineering field guide became more than a library of doctrine. The repository added publication governance, a compiler and curated editions, and an isolated browser-quality-assurance lane.…
precon · case-study
An external file arriving in storage is evidence that something was observed. It is not evidence that the file is the current, relevant, or authoritative document for an operational workflow. In preconstruction, confusing those two events…
platform · case-study
An operational workflow regularly encounters missing mappings, ambiguous identities, incomplete evidence, and provider mismatches. Those are not all software defects, and they are not all reasons to stop an entire run. They are often work…
data · case-study
LKCI currently uses one Postgres database, but it does not treat that physical fact as permission to blur responsibility. Lakehouse schemas hold ingestion, canonicalization, historical truth, enrichment, and analytical publication.…
platform · case-study
The interesting design question for an engineering agent is not whether it can read a page, write a draft, or suggest a change. It is how that capability enters the operating system around it. LKCI's answer is deliberately ordinary:…
geo · case-study
A map is good at making patterns visible. It is poor at preserving the exact decision that follows from those patterns. LKCI's geo system treats spatial analysis as an operating workflow: source data becomes canonical parcel and feature…
platform · architecture
The platform layers separate runtime surfaces, capability services, shared contracts, external adapters, deterministic pipelines, executable jobs, and durable documentation.
platform · concept
The platform is built around composability, explicit ownership, auditability, and future optionality. Velocity matters, but it is not allowed to erase the boundaries that make later work possible.
platform · concept
The platform uses four recurring shapes to keep work organized: pipelines keep data correct, jobs do automatic work, services expose capabilities, and review surfaces handle stateful human intervention.
platform · concept
Recoverable business ambiguity should be captured as structured operational data. It should not be hidden as an exception, buried in logs, or retried until context disappears.
execution · reference
Jobs should be executable and readable, but they should not be the primary home for business logic. Reusable behavior belongs in services, libs, integrations, or pipelines.
services · concept
Services should expose useful platform or domain capabilities, not table access or provider clients disguised as application code.
integrations · concept
Provider APIs can be messy at the edge, but internal platform code should see normalized, typed contracts wherever possible.