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# Engineering wiki

Practical references for software delivery, SI systems, source quality, evaluation, and controlled execution.

- [Private LLMs and hardware-aware inference](https://hypler.com/wiki/private-llms-apple-silicon)
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](https://hypler.com/wiki/development-engagement)
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](https://hypler.com/wiki/engineering-skillsets)
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](https://hypler.com/wiki/repository-workflow)
A repository workflow makes ownership, contracts, validation, and unrelated work visible before a source change becomes hard to unwind.

- [Software Architecture Makes Change Legible](https://hypler.com/wiki/software-architecture)
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](https://hypler.com/wiki/llm-methodology)
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](https://hypler.com/wiki/retrieval-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](https://hypler.com/wiki/model-selection-evaluation)
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](https://hypler.com/wiki/mcp-integration-contracts)
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](https://hypler.com/wiki/api-event-contracts)
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](https://hypler.com/wiki/human-approval)
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](https://hypler.com/wiki/testing-observability)
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](https://hypler.com/wiki/deployment-handoff)
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.

- [Rust Systems Security: Memory Safety Supports Authority Work](https://hypler.com/wiki/rust-systems-security)
Rust ownership, borrowing, and explicit error results make low-level authority paths easier to reason about, while unsafe code and dependencies still require review.

- [TypeScript Contracts: Interfaces Need Runtime Boundaries](https://hypler.com/wiki/typescript-contracts-interfaces)
TypeScript makes application contracts easier to express and refactor, but runtime validation and a narrow Gateway adapter still decide whether external input is safe to use.

- [SQL Durability: Transactions, Receipts, and Audit Truth](https://hypler.com/wiki/sql-durability-audit)
SQLite transactions support local durable authority state, while PostgreSQL provides a migration foundation for broader audit workloads; neither database makes a workflow replay-proof alone.