Engineering CultureFeatured
AI Moved the Bottleneck — and this time it landed in product
We ran out of stories. Our AI pipeline moved faster than product could spec new work. The bottleneck didn't disappear when we shifted left — it migrated.
Blog
Thinking out loud about AI, quality, and what it means to build software that actually works.
Engineering Culture
Who Trains the Next Senior Engineers?
AI makes seniors faster and juniors easier to skip — right when the industry needs more seniors, not fewer. A pipeline problem, not a productivity story.
AI Agents & Orchestration
Meet ADLC
Introducing the ADLC — the Agent Development Lifecycle. The loop that governs how you calibrate AI agents to produce reliable output.
AI Agents & Orchestration
The AI-Powered Developer
How 15 specialized agents go from ADO story to shipped PR — orchestration, context management, quality gates, and drift detection.
AI Agents & Orchestration
Auto Mode Needs a Referee
Author agents enforce quality structurally — rating AI output, retrying on partial passes, and escalating when something is fundamentally wrong.
Tooling & Workflows
Your Agent's Rules Are Probably Wrong
Without a feedback loop, your agent skills teach stale patterns — or worse, propagate security rules that were never right.
Tooling & Workflows
Stop Loading 4,600 Lines Nobody Asked For
The architecture that cut per-session agent context by 85–89% — without losing a single useful rule.
Tooling & Workflows
The Three Layers of Agent Knowledge
Not all agent context is the same. The difference between skills, instructions, and scripts determines whether your agent stays focused.
AI Agents & Orchestration
Match the Model to the Job
Using the most powerful model for everything isn't a strategy — it's expensive and slow. Here's how to match models to tasks.
AI Agents & Orchestration
Specialists Beat Generalists
A single generalist agent doing everything sounds simpler. It isn't. Here's why specialists produce better output and preserve context at handoffs.
AI Agents & OrchestrationFeatured
Making the Case for QE in the Age of AI
AI isn't replacing QE — it's making the discipline more essential. The judgment behind good testing is exactly what AI can't supply.
Engineering Culture
We've Done This Before
Prompt engineering isn't new — it's a repackaging of everything good engineers already know about communicating intent precisely.
Test Automation
Locked & Loaded
A practical intro to Artillery — a modern load testing tool you can drop into your CI/CD pipeline. Know your code can handle the spikes.
Engineering Culture
The Road Ahead
Testing trends roundtable for 2022 — what the industry expects, what's hype, and what's actually worth your attention.
Tooling & Workflows
Terratest Your Terraform
Write automated tests against your infrastructure code using LocalStack to mimic the AWS cloud environment — no AWS account needed.
Engineering Culture
Manual to Automation in 60 Minutes
A fireside chat for manual testers breaking into automation — real stories, practical advice, and how to land that first SDET role.
Engineering Culture
Testing in Times of COVID
The pandemic changed how we work almost overnight — and its impact on quality engineering, our roles, and our processes ran deep.
Test Automation
Automated Functional API Testing
A hands-on workshop walking from manual Postman collections to running automated functional API tests in a CI/CD pipeline with Newman and Docker.
Test Automation
Trust Your Integrations
Contract tests verify integrations will keep working — even when teams deploy independently. A practical guide to Pact and Pact Broker.
Engineering Culture
Quality Is Engineering, Not Assurance
Quality Assurance was a checkpoint. Quality Engineering is a discipline. SDET is how it's practiced — in code, not process docs.
Test Automation
Write Tests That Mean Something
The tests that actually catch bugs are the ones nobody wants to write — negative cases, boundary conditions, and data-driven permutations.
Test Automation
The Hidden Cost of 100% Test Coverage
High coverage metrics feel safe. But chasing 100% can give you a false sense of security while hiding the tests that actually matter.
Test Automation
Integration Test Coverage
Selected for GTAC 2013 at Google NYC — how we used code injection to track which APIs our automated tests actually exercised.
Test Automation
The Testing Pyramid Is Not a Suggestion
Most teams have an inverted pyramid — heavy on E2E, light on unit tests. Here's how to audit and rebalance the test portfolio.
Test Automation
When There's No UI to Test
Before Postman was mainstream, we were already testing APIs directly — faster, more reliable, and sometimes the UI simply doesn't exist yet.
Engineering Culture
Nomen est Omen
What's in a name? Why QA gets treated as a cost rather than a contributor — and why the discipline needs redefining.
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