How Digital Banks Scale: Mastering the Build-vs-Buy Dilemma & AI-Driven Efficiency
Explore how digital banks scale by mastering the build-vs-buy dilemma, and using AI to drive operational efficiency.
AI for Edge Case Detection in Manual Testing
Discover how AI enhances manual software testing by uncovering hidden corner cases, analysing patterns, and improving test coverage.
How Payment Platforms Scale: Real-Time Infrastructure & Zero-Tolerance Technical Debt
Explore how leading payment platforms scale reliably under extreme real-time demands, balancing rapid growth with compliance, and resilience.
Reducing LLM API Costs by 30% Through Strategic Text Preprocessing
Discover our empirical research on stopword removal cutting LLM input token costs by 30% while preserving up to 96% quality in RAG.
The Subtle Truth About Determinism and Variance in LLMs
Let’s deconstruct the myth of “randomness” in LLMs to get a technically grounded view – demonstrating engineered determinism.
Java’s Paradigm Shift: Embracing Data-Oriented Programming
Discover how Java has embraced Data-Oriented Programming (DOP), providing powerful, native tools to support it.
Why 2025 is the Year Tech Debt Becomes a Strategic Risk
Discover the hidden costs of tech debt; from slowed delivery to ballooning cloud spend. See what good architecture looks like in 2025 & beyond.
Context Engineering: State-of-The-Art Research
A practical industry report on context engineering—combining retrieval, memory, tools, and prompt design to scale and govern LLM and agent systems.
From Legacy to Leveraged: A Seller’s Blueprint for Modernizing Tech Assets Before an Exit
Learn the seller’s blueprint for software modernization, and turning technical debt into a powerful deal multiplier during M&A due diligence.
Master Technical Diligence: A Step-by-Step Guide for CTOs
CTO Guide to Technical Diligence: Master the essential steps for assessing your tech stack, mitigating risks, and driving growth.