Insights
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
Why your SDLC is slowing down AI delivery (and what to do about it)
Four changes that will adapt your SDLC to enable AI delivery, reduce bottlenecks and increase experimentation
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?
The SDLC in the Age of Agents: When Everything Happens at Once
How has the software development lifecycle changed in the age of AI agents? Read on to find out
The Context Switching Tax: Here's How To Avoid The Tax Using AI
Enterprise businesses often have fragmented systems with disparate information, and rely on highly skilled engineers to be information repositories. No more - read on to learn about how Model Context Protocol enables context switching at scale.
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.
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.
Delivering Differentiated AI-Enabled Products: Practical Field Lessons for the Enterprise
From field experience, WeBuild-AI shares lessons on how enterprises can build AI‑enabled products that are truly differentiated and scalable.
Practical Lessons from Deploying MCP in the Enterprise
Practical learnings from real enterprise deployments of MCP: architecture decisions, challenges, tradeoffs and guidelines for adoption at scale.
Revolutionising Your Change Portfolio: How AI is Turning 'Not Possible' into 'Now Possible'
Discover how AI enables organisations to reimagine change management, supporting strategists to accelerate delivery and reduce risk across the portfolio.