Engineering wiki
Practical references for software delivery, AI systems, source quality, evaluation, and controlled execution.
- Private LLMs and hardware-aware inference
Design local and privately hosted inference around data boundaries, model fit, memory pressure, resource queues, and operational ownership.
- Development Engagements Start With the Existing System
A useful engineering engagement begins by locating the real operating boundary, not by proposing a tool before the work is understood.
- Engineering Skillsets Work Best as Connected Practices
Architecture, interface work, data reasoning, testing, and operational communication reinforce one another when they are applied to the same bounded problem.
- Repository Workflow Is a Form of Risk Control
A repository workflow makes ownership, contracts, validation, and unrelated work visible before a source change becomes hard to unwind.
- Software Architecture Makes Change Legible
Architecture is useful when it clarifies boundaries, dependencies, failure behavior, and ownership for a change that a team can actually review.
- LLM Methodology: Treat Output as a Proposal
Language models can accelerate research, drafting, and implementation support when their output is bounded, evaluated, and kept separate from human authority.
- Retrieval Begins With Source Quality
Retrieval is not a substitute for data stewardship. It depends on source identity, freshness, provenance, and an interface that can show uncertainty.
- Model Selection Should Follow the Evaluation Boundary
Choose a model against documented task criteria, then re-evaluate when the task, context, tools, or model version changes.
- MCP Integrations Need Contracts, Not Assumptions
Model Context Protocol can expose prompts, resources, and tools, but exposing a tool is not the same as granting authority for consequential action.
- API and Event Contracts Make Integration Testable
An integration becomes easier to operate when requests, events, retries, errors, and state transitions are explicit and independently testable.
- Human Approval Is a System Boundary
Approval should be scoped to an identifiable action and supported by policy and evidence, rather than inferred from a model suggestion or a tool's availability.
- Testing and Observability Answer Different Questions
Tests establish selected behavior before release; observability helps a team understand what happened afterward. Neither is complete proof alone.
- Deployment and Handoff Are Separate Decisions
A source change can be ready for review without being authorized for deployment. A useful handoff states the evidence, remaining risk, and next decision plainly.