Engineering
What Is Technical Debt?
Technical debt is the future cost of a shortcut taken now. The metaphor is precise about one thing most teams get wrong: debt is only a problem when you stop servicing the interest.
Insights & Updates
Engineering Excellence ThroughKnowledge Sharing
Explore insights from our engineering team on software development, AI, cloud architecture, and industry best practices.
Articles
Engineering
Learning Paths for Engineers in the Agentic Era
When 41% of code is machine-written, the skills that compound are not the ones most training still teaches. What to prioritise, what quietly lost value, and how to build a path that survives the next model release.
Engineering
Turning Meetings into Engineering Decisions
Transcription is solved; the value is not in the transcript. A practical pipeline for converting recorded conversations into durable, retrievable decisions instead of another archive nobody reads.
Engineering
How to Onboard an Engineer onto an AI-Generated Codebase
Onboarding used to mean finding the person who wrote it. In a codebase where much of the code was generated, that person may not exist. A practical approach to ramping engineers into code with no author.
Engineering
AI Code Review: What to Automate, What to Keep Human
With a large share of new code now AI-generated, review is the bottleneck rather than authoring. What machines review well, what they review badly, and how to split the job without losing the part that mattered.
Engineering
What Is a PRD (Product Requirements Document)?
A PRD states what should be built and why, precisely enough that engineers can build it without guessing. In a world where implementation is cheap, the specification became the constraint.
Engineering
What Is a Code Smell?
A code smell is a surface indication that usually corresponds to a deeper problem. The word 'usually' is the whole point, and it is the part that gets dropped when smells become lint rules.
Cloud & DevOps
What Are DORA Metrics? The Five Measures, Benchmarks and Common Misuse
DORA metrics are five measures of software delivery: change lead time, deployment frequency, failed deployment recovery time, change fail rate and rework rate.
Engineering
Spec-Driven Development in the Age of Generated Code
When implementation is cheap and fast, the specification becomes the bottleneck and the durable artefact. What changes when the spec, not the code, is the thing you maintain.
StayUpdated
Get the latest insights on software development, AI, and technology trends delivered to your inbox.
