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Terminology

Use Developing-in-Agentic-AI-Systems-Learning-Paths.md terms exactly. Local shorthand is permitted only when its provenance is explicit and it does not replace a guide concept.

Term Provenance Meaning
AI engineering system Guide The socio-technical system of contracts, agents, capabilities, policies, workflows, evidence, and human decisions used to deliver software with AI agents.
plan → act → evaluate Guide The governing loop. Planning makes the approach visible, acting performs bounded work, and evaluation uses system signals to decide whether another cycle or human action is required.
system of record Guide GitHub’s durable issues, pull requests, commits, reviews, workflow runs, logs, and artifacts that record proposed and evaluated work.
control plane Guide GitHub controls such as required checks, reviews, CODEOWNERS, rulesets or branch protection, environments, permissions, and security signals that constrain acceptance.
contributor model Guide Evaluate agent-generated work by the same workflow standards as any contribution: intent, scope, evidence, ownership, policy, and fallback.
Agents propose; humans and policy accept Guide Agents may prepare work and open a pull request; accountable humans and repository policy decide whether it merges or deploys.
Task contract Guide The durable inputs, outputs, success criteria, scope, constraints, validation expectations, rollback, and escalation for one task. Northstar chooses a trusted live issue as its source.
Success criteria Guide Observable conditions mapped to workflow, test, security, or review signals rather than narrative confidence.
State anchor Guide The pull request that durably connects the task, plan, decisions, commits, checks, evidence, reviews, and final disposition.
Source of truth Guide The single authoritative durable artifact for a kind of state; transient conversation context is not authoritative.
External memory Guide Durable GitHub state, including issues, pull requests, documentation, workflow outputs, logs, and artifacts, reloaded across sessions and tools.
Risk-based autonomy Guide Autonomy bounded by impact and reversibility using low, medium, high, and critical risk classifications.
Capability boundary Guide The allowed tools, paths, actions, credentials, permissions, and external systems for a role and phase.
Least privilege Guide Grant only the capabilities required for one role, task, phase, and duration.
Pre-action constraints Guide Permissions, tool allow lists, and pre-tool hooks that authorize or block an action before it occurs.
In-action validation Guide Checks that evaluate work while it executes in the controlled workflow.
Post-action traceability Guide Logs, workflow outputs, artifacts, and hook records that make completed actions inspectable.
Workflow outputs and artifacts Guide Durable, run-linked evidence used for coordination, review, debugging, and audits.
Safe output Guide A declared, bounded mutation an agentic workflow may propose or perform under policy.
Continuous AI Guide GitHub Agentic Workflows that augment, rather than replace, deterministic CI/CD with bounded agentic automation.
Bounded retries Guide A finite retry policy that stops repeated failure and hands control to a human.
Rollback Guide A prepared way to reverse or abandon unsafe work.
Escalation Guide A handoff to an accountable human when risk, policy, security, repeated failure, or ambiguity exceeds the automation boundary.
MCP servers, registries, and allow lists Guide The capability, discovery, and organization/enterprise policy layers that determine which MCP integrations may be used.
Plan contract EXT-001 Northstar’s versioned machine-readable plan bound to the task-contract digest, base SHA, scope, risk, steps, checks, evidence, rollback, and escalation.
Risk floor EXT-002 The minimum risk classification derived from affected paths and capabilities; narrative assessment may raise but not lower it.
Evidence envelope EXT-006 A versioned producer result bound to actor, repository, pull request, base, head, workflow, run, job, status, and artifact digest.
Execution report EXT-006 The strict fan-in decision built from all required evidence for one immutable change.
ready_for_review EXT-006 Complete local reference evidence; hosted reviews, checks, rules, or environment approvals may still be absent.
ready_for_acceptance EXT-006 Complete hosted evidence for the immutable commit, including current human and platform acceptance.
Validation authority EXT-007 The code and configuration that decide whether evidence is accepted; a change to that authority cannot safely certify itself.
Trusted publisher EXT-007 A default-branch-controlled identity that revalidates evidence and publishes the stable acceptance status.
Failure signature EXT-010 A normalized digest used to detect repetition within the bounded-retry policy.
  • Do not call generated output “approved” unless a human or platform approval event exists.
  • Do not call a local run “accepted”; use ready_for_review.
  • Do not describe a prompt or hook as a complete security boundary.
  • Do not call a retry “recovery” unless the failure was classified and the responsible layer changed.
  • Do not use “memory” for hidden reasoning. In this system, durable external memory is inspectable GitHub state.
  • Do not call an extension guide-defined merely because it is useful or security-enhancing.