Developer Infrastructure · Dino

Dino: the API quality and context layer for AI agents

An AI-native API intelligence and quality assurance platform that helps developers and coding agents understand, test and safely modify APIs.

Founder · Architect · Full-Stack Engineer

Why Dino exists

AI agents now write and maintain a large share of software. To do that well they need more than source code. They need reliable knowledge of how a system works, which business rules must stay intact, and whether their change is actually correct.

Dino is that foundation. Agents build the software. Dino helps them understand it and proves it works.

What Dino does

Dino discovers APIs and builds a structured understanding of their operations, schemas, relationships and behaviour. It makes that knowledge available to coding agents such as Claude Code, Cursor and Codex. Then it independently tests how the API behaves, finds defects, verifies changes, and keeps software working as intended.

It pairs AI-powered intelligence with deterministic verification: agents reason about the system, and every conclusion rests on independently validated evidence.

The platform

Understand

API discovery: REST and GraphQL endpoints, operations, schemas, authentication, dependencies and relationships.
Context and intelligence: a continuously evolving knowledge base, served by a retrieval engine built on knowledge graphs, semantic search and contextual ranking.
API understanding: workflows reconstructed, operations connected to their business meaning, and documentation enriched from observed behaviour.

Assure

Business assurance: business rules and invariants understood, every change assessed for business impact, multi-step workflows verified.

Test and verify

Autonomous API testing: input validation, fuzzing, authentication, authorisation, rate limiting, response correctness and error handling.
Deterministic verification: reproducible results backed by execution evidence, with cryptographically verifiable records.
Quality gates: team-defined requirements that stop failing changes from moving forward.
Change intelligence: breaking changes, deprecations, behavioural drift and downstream effects, monitored continuously.

Integrate

Agents, MCP and CLI: API knowledge, retrieval, findings and quality capabilities inside the agent through MCP, plus a developer CLI, agent skills and a natural-language API assistant.
Execution anywhere: local, Dino-managed cloud, customer-controlled environments, CI/CD and GitHub.

The Verification Foundry runs Dino's core loop as a machine: discover, authenticate, a human approval, autonomous testing, and a sealed, verifiable result.

My role

I founded Dino and designed and built it: the product, the architecture and the platform.

At a glance

Role: Founder · Architect · Full-Stack Engineer
Company: Dino
Discipline: Developer Infrastructure
Built with: TypeScriptMCPGraphQLOpenAPICloudflare WorkersSigstore

Highlights

Dino is an AI-native API intelligence and quality assurance platform: it helps developers and coding agents understand, test and safely modify APIs.
Dino combines AI-powered intelligence with deterministic verification: agents reason about software while relying on independently validated evidence.
Discovery inventories every operation of a REST API from OpenAPI and of a GraphQL API from introspection or SDL, including protected endpoints, recording completeness, conflicts and lineage.
Agents receive deterministic, scoped context: a graph plus full-text index, hybrid retrieval with fusion and reranking, and bounded context slices with selection manifests.
Dino generates and executes API tests covering input validation, fuzzing, authentication, authorisation, rate limiting, response correctness and error handling.
One sealed constructor builds every result; it is emitted as canonical bytes whose SHA-256 is the result digest, pinned by a golden-byte test across operating systems and runtimes.

Links

System

Context, intelligence and retrieval

A continuously evolving knowledge base of each API's structure, behaviour and history, served to developers and agents by a retrieval engine built on knowledge graphs, semantic search and contextual ranking.

Context engineeringRetrievalAI agents

System

Business assurance

Dino understands the business rules a system must keep, analyses every change for business impact, and verifies the invariants and multi-step workflows that matter most.

Business assuranceInvariantsChange impact

System

Deterministic verification and verifiable evidence

Dino validates API behaviour against defined requirements and produces reproducible results backed by execution evidence, sealed into records anyone can verify.

DeterminismEvidenceAttestation

System

Built into the agent: MCP, CLI, skills and assistant

Dino puts API knowledge, context retrieval, findings and quality checks directly inside coding agents through MCP, with a developer CLI, agent skills and a natural-language API assistant.

MCPCLIAI agents

Dino: the API quality and context layer for AI agents

Why Dino exists

What Dino does

The platform

My role

Related systems

Context, intelligence and retrieval

Business assurance

Deterministic verification and verifiable evidence

Built into the agent: MCP, CLI, skills and assistant

Why Dino exists

What Dino does

The platform

My role