Groundtrack

Continual learning infrastructure for coding agents

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

Corrections become better guidance for the next agent. Every recurring failure becomes a fix for the environment itself. Groundtrack runs both loops across your coding agents and your team.

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Works across your coding agents: CodexClaude CodeCursorOpenCode

Knowledge loop

Teach the next agent what matters.

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

Environment loop

Remove what keeps holding agents back.

Turn recurring friction into initiatives that improve tools, systems, and ways of working across the organization.

Across agents

A lesson learned by Claude Code can spare Codex, Cursor, or OpenCode the same dead end.

Across teammates

One engineer's correction can improve future work across the team.

Over time

As new evidence arrives, lessons are refined, superseded, or retired.

Across outcomes

Interventions are checked against real results, so you learn what actually helped, and Groundtrack gets better.

Into systems

Recurring friction turns into improvements to the tools and systems your agents work with, so they work better.

The operating model

Learns from finished work. Changes the next.

One real incident, end to end: a Prisma migration made unsafe by drifted local history.

  1. Evidence

    01 / 05

    Observe

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

    Source event

    The developer database retained an older renamed migration, making Prisma's normal migration command unsafe in a non-interactive session. The agent generated and validated the migration against a disposable Postgres database, then removed only that database.

  2. Judgment

    02 / 05

    Generalize

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

    From event to experience

    Groundtrack distilled the episode into a reusable, scoped experience: generate migrations against an isolated database when local history drifts.

  3. Intervention

    03 / 05

    Intervene

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

    Groundtrack retrieval feedback marks the isolated-database experience Applied; the agent says it will preserve the original.
    A later search for migration drift returned this lesson. The agent marked it applied and said it would preserve the original database.

  4. Outcomes

    04 / 05

    Verify

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

    A recorded Groundtrack outcome describes a replacement built from checked-in migrations, validated account data, and a retained original database and dump.

  5. Capability

    05 / 05

    Encode

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

    Groundtrack initiative for safe Prisma migration generation: seven independent sessions, eight supporting events, no opposing evidence, and an assessment of the disposable-database workflow.

Make the next attempt better

Stop paying for the same engineering lesson twice.

  1. 01

    Connect your agents: Codex, Claude Code, Cursor, and OpenCode keep working as they do today.

  2. 02

    Groundtrack learns from real work without replacing your existing coding workflow.

  3. 03

    Lessons reach future agents automatically or through search; recurring friction becomes an initiative to fix the system around your agents.

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