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Dino

The API quality and context layer for AI agents. Dino helps developers and coding agents understand, test and safely modify APIs.

Founder · Architect · Full-Stack Engineer

Systems from Dino

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

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API discovery

Dino finds every operation an API exposes, REST and GraphQL, with its schemas, authentication requirements, dependencies and relationships, and keeps that inventory current.

DiscoveryOpenAPIGraphQL

System

API understanding

Dino interprets API structures, identifies relationships, reconstructs workflows, connects technical operations to their business meaning, and writes the documentation teams wish they had.

UnderstandingDocumentation

System

Autonomous API testing

Dino generates and runs API tests across input validation, fuzzing, authentication, authorisation, rate limiting, response correctness and error handling, under strict budgets.

TestingFuzzingSecurity

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Quality gates and policy enforcement

Teams define what quality means for their APIs, and Dino enforces it, stopping changes that fail verification before they move through the pipeline.

Quality gatesPolicy

System

Change intelligence and continuous monitoring

Dino detects schema changes, breaking changes, deprecated operations and behavioural drift, traces their downstream effects, and keeps watching for regressions.

Breaking changesDriftMonitoring

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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

System

Verification wherever you build

Dino runs in local development, in its managed cloud, in customer-controlled environments, and inside CI/CD and GitHub pull requests.

CI/CDGitHubCloud

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Agent-led onboarding

A coding agent onboards an organisation's whole API estate into Dino over MCP, and people make every consequential decision.

OnboardingMCPHuman in the loop

System

Secret custody

The credentials Dino uses to test an API never enter chat, logs or Dino's own database.

SecuritySecrets

System

Signing in like a real client

Dino logs into APIs the way real clients do, across multi-step logins, one-time codes, OAuth2 and multiple roles.

AuthenticationOAuth2

System

How I build with coding agents

Dino is built with coding agents inside rules I set: machine-enforced constraints, failing tests first, honest failure as a non-negotiable, and checks only a human can weaken.

GovernanceAI agentsQuality

System

Dino Terminal: a native home for coding agents

A native macOS app for running Claude Code in a real terminal, with per-project personas, file preview, a live task panel and a rich agent view, signed and self-updating.

Developer toolsAI agentsDesktop