Groundtrack

Continual learning infrastructure for coding agents

Your engineering organization should get smarter every time an agent works.

Groundtrack turns hard-won discoveries and corrections into durable organizational capability. Future agents inherit what matters, while recurring friction becomes evidence-backed initiatives to improve the environment they work in.

Open Groundtrack

How Groundtrack improves

Improve agent decisions and the environment they work in.
Evidence connected
K

Knowledge loop

Teach the next agent what matters.

Preserve exact mechanisms, scope, exceptions, failed approaches, and source evidence—then retrieve them during relevant work.
E

Environment loop

Remove what keeps holding agents back.

Turn recurring friction into initiatives that improve tools, systems, and ways of working across the organization.
Measure what helped, then use the result to improve what comes next.

Learning in practice

Make every fix improve what comes next.

Groundtrack turns lessons from completed work into guidance for future agents and evidence for improvements across the team.

Example · Review correction

An agent adds an API endpoint without applying the team’s authorization policy. A reviewer catches it before merge.

Knowledge loop

Apply the authorization policy.

When another agent builds a related endpoint, surface the repository-specific requirement before implementation.

Initiative loop

Make authorization the default.

If the mistake recurs, propose shared middleware or an automated check that prevents endpoints from omitting authorization.

The operating model

A closed loop from completed work to measurable improvement.

  1. 01

    Evidence

    Observe

    Capture what happened during completed work and preserve the source evidence.
  2. 02

    Judgment

    Generalize

    Turn specific episodes into scoped lessons and identify recurring systemic problems.
  3. 03

    Intervention

    Intervene

    Apply the smallest useful lesson at the right moment—or remain silent.
  4. 04

    Outcomes

    Verify

    Connect interventions to behavior and engineering outcomes to learn what worked.
  5. 05

    Capability

    Encode

    Turn validated learning into better instructions, tools, workflows, and infrastructure.