Long-form essays from the engineers shipping AI inside payers, hospitals, energy operators and proptech platforms. Written for technology leaders who care more about what runs in production than what trended last week.
Self-healing tests auto-adapt to storefront UI churn so they stop breaking on every tweak. Useful for cutting maintenance, dangerous when healing hides a broken checkout. How to use them safely.
Self-healing tests auto-adapt to UI changes so they stop breaking on every selector tweak. Useful for cutting maintenance, dangerous when healing hides a real regression. How to use them safely.
Autonomous testing for a storefront is a spectrum, not a switch. Generation and execution mature faster than judging a failed checkout. Knowing the levels keeps you from shipping on unsafe green…
AI can generate tests fast, but in healthcare volume is not coverage. Tests that pass without checking clinical correctness or PHI handling give dangerous false confidence. How to make them verify…
AI can generate tests fast, but volume is not coverage. Tests that pass without asserting anything meaningful give false confidence. How to make AI-generated tests actually verify behavior.
Autonomous testing is a spectrum, not a switch. Testing that generates, runs, maintains, and triages itself arrives in levels. Knowing the maturity levels keeps you from over-trusting or…
Agentic testing uses AI agents that explore and reason about tests instead of replaying scripts. In fintech it promises coverage and less maintenance, but money-moving flows demand tight oversight.
Agentic testing uses AI agents that explore, reason, and adapt tests rather than replay fixed scripts. Promising for coverage and maintenance, but it needs oversight. What it is and where it fits.
In healthcare, QA as an end-phase gate cannot keep pace with delivery and cannot alone guarantee the patient-safety correctness the domain demands. Quality engineering builds safety and quality in…
A golden path is a paved, supported, opinionated route for building and shipping software that most teams should take by default. It is platform engineering's core product, not documentation. What…
In fintech, QA as an end-phase gate cannot keep pace with delivery and cannot alone guarantee the correctness money movement demands. Quality engineering builds quality and compliance in throughout.
QA as a testing phase at the end cannot keep up with modern SaaS delivery. Quality engineering builds quality into the whole process. What the shift means and how SaaS teams make it.
Rolling out AI coding assistants in healthcare is not a license purchase. It needs guardrails for patient-safety and PHI code, safety-aware review, and measurement, or you get more code and more…
Rolling out AI coding assistants in fintech is not a license purchase. It needs guardrails for money-touching code, compliance-aware review, and measurement, or you get more code and more…
Rolling out AI coding assistants across a SaaS organization is not a license purchase. It needs guardrails, review discipline, and measurement, or you get more code, more review load, and uneven…
Micro-frontends let independent teams own parts of a storefront, but they add bundle bloat that hurts conversion. When they earn that cost in retail, and when a modular monolith frontend is better.
Micro-frontends let independent teams own and ship parts of one app, but they add real cost, bundle bloat, versioning, integration. When they earn that cost, and when a modular monolith frontend…
SaaS scalability is not one thing. It is load, data, tenants, team, and cost scaling on different curves. Chasing scale as a single goal is how teams over-build one and get blindsided by another.
Bolting AI onto a normal SDLC produces retail demos that die in production, recommendations, search, and support that fail on real catalogs and shoppers. The AI process rethinks discovery,…
Bolting AI onto a traditional SDLC produces demos that die in production. The AI product development process rethinks discovery, evaluation, and iteration around models that behave probabilistically.
Most hospitality analytics is a pile of events that cannot explain why bookings fall through. A real implementation starts from the booking questions and a tracking plan. How to instrument…
Most retail analytics is a pile of events that cannot explain why carts get abandoned. A real implementation starts from the commerce questions and a tracking plan. How to instrument analytics…
Most SaaS analytics is a pile of events nobody trusts, tracked inconsistently and answering nothing. A real implementation starts from the questions and a tracking plan. How to instrument…
Property listings heavy with photos and maps get slow, and a slow search loses buyers to a faster portal. Treating frontend performance as budgets, monitoring, and culture keeps listings fast.
One long-form essay every other Wednesday. Written by the engineers shipping production AI for our clients, not by a content team. No promotional emails. Unsubscribe in one click.
