AI-Accelerated Development
AI isn't a feature we tack onto projects — it's embedded in how we work. Claude, Copilot, and Cursor shorten our timelines without sacrificing engineering judgment or production-grade quality.
AI as a Force Multiplier, Not a Replacement
Every line of generated code is reviewed and owned by a senior engineer. We use AI tooling to compress scaffolding, test generation, documentation, and review cycles — cutting delivery time without cutting the engineering judgment that makes production systems reliable.
AI suggests. Deterministic checks decide. AI is heuristic: it proposes code, tests and designs. Our tests, reviews and pipelines are deterministic: they decide what ships. That split is the “HD” in HD Labs.
AI accelerates the work, engineers own the output. Every generated artefact — code, tests, docs — is reviewed by a senior engineer before it ships.
Prototypes in days, production in weeks. AI-assisted scaffolding and test generation get us to working code faster than any manual process — without skipping architecture.
Transparent AI usage in every engagement. We document where AI tools contributed so your team can understand, audit, and maintain every deliverable.
LLMs embedded in products, not just in our workflow. We build RAG pipelines, AI agents, and LLM-powered features into your product — not just use AI to write the code that builds it.
Capabilities
Tools
AI Specialisations
Six practice areas spanning AI-augmented engineering workflows and LLM-powered product features.
AI-Augmented Engineering
AI tooling embedded across the full development lifecycle — from spec to scaffold, scaffold to test, test to review. We don't use AI for demos; we use it to compress the parts of engineering that don't require human judgment.
AI coding workflows · Scaffold generation · Automated test writing · AI-assisted review
RAG Pipelines
Retrieval-augmented generation systems that let LLMs answer accurately from your own data — documents, databases, knowledge bases — without hallucinating. We design chunking, embedding, retrieval, and re-ranking strategies that actually work in production.
Document ingestion · Chunking strategies · Vector retrieval · Re-ranking · Context assembly
AI Agents & Automation
Autonomous agents that can use tools, call APIs, query databases, and complete multi-step tasks without a human in the loop for every action. We design agent architectures with the observability and guardrails production systems require.
Tool-use agents · Multi-step workflows · Function calling · Agent observability · Guardrails
LLM Product Features
Integrating LLM capabilities directly into your product — intelligent search, content generation, summarisation, classification, and conversational interfaces. Built with latency, cost, and reliability budgets that real products require.
Semantic search · Summarisation · Classification · Copilot features · Conversational UI
AI-Assisted Testing
Test generation at scale — unit tests, integration tests, and edge case coverage generated from code and specifications. We use AI to get coverage that would take weeks manually, then review and own every generated test.
Unit test generation · Integration test scaffolding · Edge case discovery · Coverage analysis
Rapid Prototyping
From written spec to a working, demonstrable prototype in days — not weeks. AI-assisted scaffolding compresses the time between idea and stakeholder feedback loop, without producing throwaway code.
Spec-to-scaffold · Working demos · Stakeholder-ready prototypes · Architecture-first builds
Want to Ship Faster Without the Quality Trade-off?
Tell us what you're building. We'll show you where AI tooling fits and what it realistically delivers.