Move from ticket to working change without losing the why.

Keep intent, decisions, implementation, review, and operational evidence connected while you and AI agents contribute to the same delivery flow.

Start Free See the implementation brief

Illustrative prepared output

Implementation brief

The intent, next review action, and one delivery signal are ready before work moves.

Example workspace · review updated 5 min ago

Prepared

Ticket intent

Context ready

ENG-482 carries the accepted narrow scope and the unresolved fallback decision before implementation resumes.

Linear · ENG-482Slack · Decision thread

Review action

Action prepared

PR #1842 requests failure-state coverage for the fallback; the bounded action is to remove it from this delivery.

GitHub · PR #1842Linear · ENG-482

Delivery signal

Check impact

AUTH-219 touches the same authentication path, but the signal is staging-only and causation is unconfirmed.

Sentry · AUTH-219GitHub · PR #1842

The operating problem

Implementation starts with a context reconstruction.

The ticket captures the request, discussion changes the intent, design narrows the behavior, and review reveals another constraint. Engineers spend the first and last mile rebuilding the reason behind the work instead of moving it safely.

Evidence for an implementation brief

LinearTicket intent, acceptance criteria, ownership, and delivery state

GitHubImplementation, checks, review, and the current change

SlackDecisions, clarifications, and handoff context

SentryOperational evidence relevant to the implementation area

Lit Factory connects operational tools through MCP. Available context and actions depend on the connections and permissions configured for your workspace.

One agentic workflow

Prepare the next implementation action.

The brief carries source-linked intent and decisions into implementation, then turns review and delivery evidence into a bounded next action. Code review is one moment in the flow, not the whole job.

Trigger01

A ticket is ready for implementation.

An engineer or agent picks up work, or a review returns with a consequential change request.

Grounded context02

The why travels with the change.

Ticket intent, decisions, current implementation, review activity, and relevant operational evidence are assembled with their sources.

Prepared action03

The next change is made explicit.

The agent prepares a bounded implementation brief or translates review into specific actions, rationale, and unresolved questions.

Human decision04

The engineer chooses how work proceeds.

Start the change, narrow it, request a decision, or reject the proposed action. The choice remains attached to delivery.

After trust is established

Automate the repeatable follow-through.

After the brief proves reliable, prepare it when work is assigned, route accepted review actions into the active work, and keep routine implementation state current across connected tools.

Human in Control

The decision stays human.

Lit Factory can assemble context and propose the next action. The engineer decides the implementation approach, validates the change, and determines whether the evidence is sufficient to move forward.

Intended outcome: less context hunting, more actionable review, and implementation that preserves the intent and decisions behind the work.

Turn on the lights, then move with confidence.

Start Free