Insights
The Open Model Moment: Why Every Enterprise Needs a Multi-Model Strategy
The open model shift is accelerating, and three moves in the last fortnight show exactly where this is heading. Stop paying someone else's margin to think for you and adopt a multi-model strategy.
Build Foundational Enterprise AI Using Spec-Driven Development and Architecture Decision Records
From agile and waterfall methodologies to AI-native software development lifecycles - how to standardise spec-driven approaches to build AI-ready enterprises.
AI Quick Wins Across the PE Deal Lifecycle
How forward-thinking PE firms are deploying production-ready AI in 4-8 weeks to gain competitive advantage without the 18-month implementation timelines of traditional consultancies
Five Workflow Patterns to Multiply Your Development Capacity with AI Coding Assistants
Multiply your software development capacity with AI coding assistants - here’s 5 workflows to get you started
Aligning Spec-Driven Development and Context Engineering For 2026
Are spec-driven development (SDD) and context engineering competing, or complementary - and how do we see that partnership working for 2026?
Rethinking Engineer Interviews: Why We Don't Do Take-Home Tasks
WeBuild-AI interviews for engineers don’t include any steps with take-home tasks - find out why we approach job interviews differently, from in-house Talent Partner, Rachel O’Keeffe.
Life at WeBuild-AI: meet Vincent Farah, Lead Consultant - from love letters to Python, to coffee as a debugging tool
Meet Vincent Farah, Lead Consultant at WeBuild-AI, to learn about switching hats between AI consulting and software engineering, and his journey from teenage coder to clean architecture aficionado.
Why (and why not) train a language model from scratch
Learn about why (and why not to) train a language model from scratch - plus, what would be required to implement in practice
The WeBuild-AI Perspective on Context Engineering
Context Engineering promises dramatically better AI outcomes, yet the reality involves substantial trade-offs in token economics, latency, and MCP infrastructure investment that determine what's actually feasible at enterprise scale.
Why Small Language Models Are the Key to Agent Independence
Open source small language models offer organisations a strategic path to building AI agents that avoid vendor lock-in, enable explainability for regulated industries and provide operational independence from the three dominant LLM providers.
How MCP Transforms Your Software Delivery Lifecycle
Gain insight into how Model Context Protocol (MCP) transforms the software delivery lifecycle, letting AI agents work across your system and integrate seamlessly with your data.
Why Your Organisation Needs Agent Lifecycle Management
Explore why organisations should adopt full lifecycle management for AI agents for monitoring, governing, versioning and maintaining in business systems.
Webinar Replay: Unlocking the True Power of Enterprise AI
Watch our webinar recording, where we demonstrate how Model Context Protocol (MCP) and AI agents convert conversational AI into business tools.
How We Harness AI to 10X our Software Engineering Teams
How does WeBuild‑AI integrate AI deeply into development processes, freeing engineers from repetitive work and accelerating delivery while preserving code quality?
Why Prefect is A Perfect Pick for AI Agent Monitoring
Exploring how Prefect (a workflow orchestration tool) fits naturally into AI agent monitoring and enables tracing, alerting and observability of agent operations.
