Potpie

Potpie forge

Engineering first CodeGen

Code generation reimagined as a constraint satisfaction problem. Integrate TDD with our Knowledge Graph to synthesize code that is correct by construction.

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SpecIFication

type: module

name: PaymentGateway

version: 1.0.2

interface:

- method: processCharge

params: [amount, currency]

returns: TransactionResult

constraints:

- idempotent: true

- timeout: 3000ms

Interface.yaml

Pipeline Sequence ID: #F99-204

Live Execution

01. Synthesis

Isolated generation of code and tests from the specification and global constraints. Ensures type safety and best engineering practices.

02. Validation

The generated code is then tested in isolation within ephemeral containers. Code is tested and refined in a zero-trust environment.

03. Integration

Generated abstractions are mapped to the semantic graph, ensuring repository-wide consistency and reuse.

SpecIFication

type: module

name: PaymentGateway

version: 1.0.2

interface:

- method: processCharge

params: [amount, currency]

returns: TransactionResult

constraints:

- idempotent: true

- timeout: 3000ms

Interface.yaml

Pipeline Sequence ID: #F99-204

Live Execution

01. Synthesis

Isolated generation of code and tests from the specification and global constraints. Ensures type safety and best engineering practices.

02. Validation

The generated code is then tested in isolation within ephemeral containers. Code is tested and refined in a zero-trust environment.

03. Integration

Generated abstractions are mapped to the semantic graph, ensuring repository-wide consistency and reuse.

Spec Driven codegen

Potpie Trace investigates production incidents using the existing knowledge graph as an operational specification. It reduces the grep tax by constraining analysis to services, contracts, and configurations relevant to the failure.

Causal graph traversal: Traverses service call graphs to assess, upstream and downstream impact.

Contract and state validation: Compares live requests, API/schema, contracts, and deployment baselines to detect deviations.

MCTS-inspired hypothesis search: Builds and evaluates, branching investigation trees in sandboxed environments.

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Sandboxed execution

Every generated changes is executed in an ephemeral, isolated environment. We measure performance, capture logs, and run TDD probes before you even seethe PR.

Secure Container solution: Traverses service call graphs to assess, upstream and downstream impact.

Resource Profiling: Real-time metrics for CPU, memory, and I/O, usage during execution.

TDD Probes: Active probes verify hat generated code adheres to constraints defined in the knowledge graph.

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Knowledge graph update

Once verified, changes are seamlessly synchronized with the global system knowledge graph to maintain a unified understanding of the codebase. This continuous synchronization ensures that all agents and developers are working with the most up-to-date architectural intelligence available.

Conflict-free graph merging: Utilize advanced semantic diffing algorithms to integrate new code modules into the existing dependency graph without structural conflicts.

Instant architectural indexing: Immediately propagate new interfaces and data models throughout the system for instant search and cross-referencing.

Propagate downstream impacts: Automatically identify and notify stakeholders about how new changes affect legacy modules and dependent microservices

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AGENT TOOLKIT

Tools for every task

Ready-made specialists. Repeatable recipes. Custom forge.

Potpie Specialists

Potpie is built around atomic, task-specialized agents. Unlike general assistants, our specialists combine structured prompting, tool integrations, and execution safeguards into a cohesive, testable operational unit.

Potpie Recipe

We build the infrastructure so you can focus on the intelligence. Define triggers, manage state and deploy specialists that work in concert without fragile glue code. Potpie recipes are the blueprints or the next generation of software.