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Layerun

Layerun

Layerun is a causal–temporal incremental compute engine that generalizes CI/CD into a continuous, deterministic compute fabric. Unlike traditional DAG-based systems, Layerun discovers dependencies dynamically through capability observation and maintains temporal state across epochs.

Why It Exists

Pain Points Solved

  • Waiting 5-10 minutes for CI to run on trivial changes
  • Maintaining complex build configuration files
  • Debugging "works on my machine" issues
  • Inconsistent build results across environments
  • Slow feedback breaks "vibe coding" flow with AI-assisted development
  • High CI/CD compute costs
  • Lack of build artifact provenance
  • No time-travel debugging capabilities

Key Value Propositions

  1. Zero Configuration: Dependencies discovered automatically, no manual DAG maintenance
  2. Sub-second Feedback: Trivial changes validate instantly via intelligent caching
  3. Deterministic Execution: Same inputs → same outputs, always reproducible
  4. Time-Travel Debugging: Query and replay any execution epoch
  5. Cost Efficient: Cache reuse across developers and CI runs
  6. Provenance Tracking: Know exactly how every artifact was built
  7. AI-Assisted Development Acceleration: Enables "vibe coding" workflows with instant feedback

How It Works

Architecture diagram

Causal graph visualization (simplified)

%%{init: {"flowchart": {"htmlLabels": true}} }%% flowchart LR %% Input Goal[Goal]:::start %% Processing nodes Planner[Planner]:::process Scheduler[Scheduler]:::process Execution[Execution]:::process %% State node Epoch(("Epoch")):::state %% Edges Goal --> Planner Planner --> Scheduler Scheduler --> Execution Execution --> Epoch %% Styles - Outline style with high contrast %% Transparent fills with thick strokes - colors will be overridden by CSS for theme adaptation %% Using neutral color as base, CSS will apply white in dark mode and black in light mode classDef start fill:transparent,stroke:#999999,stroke-width:3px,color:#999999,font-weight:bold classDef process fill:transparent,stroke:#999999,stroke-width:3px,color:#999999,font-weight:bold classDef state fill:transparent,stroke:#999999,stroke-width:4px,color:#999999,shape:circle,font-weight:bold
  1. User declares goal: Desired end-state (declarative, not imperative)
  2. Planner computes plan: Analyzes dependencies, checks cache, generates minimal execution plan
  3. Scheduler optimizes execution: Considers latency, cost, and resource availability
  4. Sandbox executes nodes: Isolated execution with capability observation
  5. System updates state: Tracks dependencies, caches results, records execution history
  6. Validation and provenance: Ensures correctness and tracks complete lineage

Layerun combines causal discovery, incremental memoization, temporal state tracking, and constraint-based planning to create a deterministic compute fabric. By automatically discovering dependencies, intelligently caching results, and maintaining complete provenance, it eliminates the manual configuration and slow feedback loops that plague traditional CI/CD systems.

Interested in Funding?

I'm building Layerun independently and welcome conversations with investors and partners who are excited about the future of developer tooling and CI/CD infrastructure.