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Glossary

A common misuse of a pattern or capability, named with the symptom that reveals it. Principles call theirs a Signal of Violation. See Anti-patterns.

A one-message task description for delegated work: goal, constraints, non-goals, a mirror to follow, a done command, and an ask for assumptions. See Delegation Fit.

A mechanical block before an irreversible or outward-facing action that parks a one-step decision for a human. See Checkpoint Gates.

Summarizing an agent’s context in place to free space. Keeps continuity but can drop constraints. See Context Handoff.

A written record of goal, state, evidence, decisions and next step that lets a fresh session resume a run. See Context Handoff.

The amount of text a model can process in a single call. Exceeding it causes truncation or failure.

Tracing a repeated correction to the input that caused it, then fixing that input. See Correction Diagnosis.

The per-task choice to delegate, pair, or write by hand, made before prompting. See Delegation Fit.

The interface to the models: the CLI, IDE extension, or application that orchestrates prompts, tools, and context. See Harness Selection.

Repository Maintainers or higher. They endorse proposals, resolve objections, and ratify additions to SHRINE. See Governance.

Coordinating multiple models, agents, or pipeline stages so each handles the part of a task it is best suited for.

Short, evidence-linked progress notes an agent writes to a shared work board. See Progress Breadcrumbs.

Content becomes part of SHRINE by one of three routes:

  • Lifecycle: two keeper endorsements, the objection window, then the draft PR merges (Proposal Lifecycle)
  • Expedited: the lifecycle without the objection window, which the CTO or VP of Engineering waives (Expedited Ratification)
  • Keeper decision: a majority of keepers ratify or amend directly, and can waive the Discussion; the page links the record (Keeper Decision)

Indexed knowledge of a codebase (symbols, references, code graph) exposed to agents. Distinct from memory. See Repository Context.

Agent output shaped to be cheap to review: small diffs, attached evidence, and a review note. See Reviewable Output.

Selecting which model handles which task based on complexity, cost, and capability requirements.

Workarounds, wrappers, and patterns built to compensate for model limitations. May become obsolete as models improve. Distinct from Mechanical Scaffolding, which is repeatable structure for token efficiency.

Stable-Kernel Hosted Reasoning & Inference Network Environment. The org’s open forum and governance site for how we build with AI.

Packaged, reusable instructions for accomplishing specific tasks efficiently.

A written agreement before execution: problem, constraints, acceptance criteria with checks, out of scope, checkpoints, abort criteria and stop condition. See Spec, Then Build.

An abstract capability slot: what the capability must do, how to select for it, and its anti-patterns. Not a product list. See FAQ.

A short per-repo instruction file the harness loads every session: commands, idioms, and conventions the agent cannot cheaply derive from the code. See Memory & Context.

Choosing model tier and reasoning effort for each step inside an agent trajectory. See Step-Level Routing.

An agent spawned by a primary agent to handle a scoped task, often in parallel with others. Keeps the main context lean and the work isolated.

Value per win, where a win costs tokens plus human attention (engineer minutes steering, reviewing, babysitting). The north star metric: drive cost per win down, not raw token usage. See TTV.

An agent run that works for hours without a human watching each step, bounded by a time limit, abort criteria and a stop condition. See Unattended Runs.