Scrummer

Engineering memory for your AI tools

Give AI coding tools the context behind the code.

The reasoning behind the code lives in planning calls, standups, refinements and architecture discussions — not only in the repo.

Better engineering memory, not just better prompts.

Coding agents cannot recover context they were never given.

Before: outdated or incomplete context

  • Stale requirementOld versions and closed locations.
  • Missing rationaleAgents lack the reasoning behind decisions.
  • Conflicting instructionsUnclear priorities lead to rework.

After: current, source-linked context

  • Up to dateReflects the latest decisions and delivery.
  • Complete understandingIncludes intent, rationale and constraints.
  • Consistent directionClear, testable guidance reduces rework.

What gets lost without Sasha

Decisions, edge cases, workarounds, implementation changes and trade-offs disappear the moment the conversation ends.

What changes with Sasha

  • Less reconstruction

    Teams stop rehashing decisions and start building.

    Save 3–5 hours per engineer per week

  • Fewer missed commitments

    Owned actions are created, followed and completed.

    Reduce commitment slippage

  • Current engineering context

    Decisions, changes and rationale stay live and linked.

    Always work from the latest truth

One capture. Every artifact.

Closed locations still need to appear.

Intent
Prevent user confusion and support future reactivation without data loss.
Decision
Display closed locations in the selector with a “Closed” badge.
Rationale
Users may need historical or pending locations. Hiding causes confusion.
Business rule
Closed locations remain visible. Cannot be selected for new orders.
Constraint
Do not impact performance of the location lookup API.

Linked to: May 12 standup

One decision. Carried into implementation.

  1. Surfaced in standup or refinement call

    The team discusses what should happen and why.

    Google Meet
  2. Sasha captures engineering memory

    • Intent
    • Decision
    • Rationale
    • Business rule
    • Constraint
    New memory
  3. Jira receives updated work definition

    • Acceptance criteria updated
    • Edge cases added
    • Business rules linked
    • Constraints recorded
    Work definition updated
  4. Claude receives project context

    • Intent
    • Rationale
    • Business rules
    • Constraints
    Context synced
  5. Cursor receives coding context

    • Affected components
    • Implementation guidance
    • Test expectations
    Coding context ready

Grounded in your delivery context.

  • Source-linked answersEvery answer cites the original call and time.
  • Human-visible actionsYou see what Sasha will do before it’s done.
  • Scoped integrationsSasha works only in the tools you connect.
  • Current contextEngineering context is kept fresh as work changes.

Keep every coding session aligned with delivery.

No credit card required. Cancel anytime.