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Glossary

Plain meanings for the words people use around AI coding agents, and around Syndai. Written for people who do the work.

A

Agent babysitting
The unplanned work of watching, steering, and rescuing a coding agent mid-task, instead of handing off a task and reviewing a finished result.
Agent memory
Knowledge an AI agent keeps across sessions, project decisions, house rules, past mistakes, so each run does not start from zero.
Agent-ready repository
A codebase set up so a coding agent can find its way, build, test, and contribute without a human guiding every step.

B

Background coding agent
A coding agent that runs a task on its own, on managed machines, and returns a result you can review, usually a pull request.

C

Coding agent harness
The tools, workspace, limits, checks, and feedback loops around a coding agent's model that turn raw skill into steady work.
Context engineering
The craft of choosing what enters a model's context window, files, rules, docs, history, so it reasons about your real system.

P

Production-ready PR
A pull request that arrives built, tested, and tightly scoped, so it can be reviewed and merged without a round of rework.

R

Review council
A code-review pattern where several reviewer agents check a change from different angles before it is accepted.
Run receipt
A record shipped with an agent's delivery that shows what really ran: the commands, the checks, the test output, and the results.

S

Sandbox lane
A walled-off, throwaway workspace where an agent's run gets its own dependencies, services, and limits, and cannot touch anything else.
Spec-driven development
A way of working where the coding agent builds against a written, reviewable spec instead of a live chat.

V

Verification-first development
An approach where the checks that would accept a change are set up first, so the checks decide when the work is done.