Engineering Blog
Practical guides on k6 load testing, React Native in 2026, RAG systems and Next.js. Real engineering cases from the WIZICO team.
5/7/2026
Stack Overflow Leaves NGINX Ingress: What's Behind It and Should You Follow Suit
Stack Overflow migrated from Ingress-NGINX to Envoy Gateway. We break down why they did it, how much it cost, and whether you should follow their path on your project.
5/6/2026
Reducing Hallucinations: GPT-5.5 Instant and the Trust Question in Sensitive Domains
We analyze what the claimed hallucination reduction of GPT-5.5 Instant means in law, medicine, and finance. When the model can be used, and when not yet, and why marketing doesn't replace benchmarks.
5/4/2026
China market lost for Nvidia. What this means for those building AI products
Jensen Huang admitted Nvidia lost the Chinese market due to US sanctions. We break down how this affects hardware choices for AI products, the rise of alternatives, and total cost of ownership.
5/3/2026
Mac mini and Mac Studio in Shortage: What Happens When AI Engineers Buy Up All the Memory
Shortage of Mac mini and Mac Studio due to AI engineers' demand for local LLM inference: why Apple Silicon remains the only platform for 70B+ models and what it means for AI product architecture.
5/1/2026
$725 billion on infrastructure: Big Tech builds data centers, and you pay for their mistakes
Big Tech plans to spend $725 billion on data centers by 2026. We break down how these investments will affect cloud costs for developers and why you should consider hybrid architecture.
4/30/2026
Robots Building Data Centers: SoftBank and the Cost of AI Infrastructure
SoftBank is creating a robotics company to build data centers and eyeing a $100B IPO. We break down why construction automation is a key bottleneck for AI infrastructure and what it means for engineers and clients.
4/29/2026
Microsoft and OpenAI: exclusivity is over, vendor lock-in remains
Microsoft and OpenAI revised their partnership: Azure loses exclusivity, but vendor lock-in remains. We analyze how this affects infrastructure choices for AI products.
4/28/2026
Google Split the TPU into Two Chips: Pragmatism Over Versatility
Google split the TPU into two chips — one for training, one for inference. We break down why versatility is losing to pragmatism and what it means for AI infrastructure costs.
4/27/2026
1.6 Trillion Parameters on Huawei Chips: What DeepSeek V4's Release Actually Means
DeepSeek V4's 1.6T parameter release on Huawei chips: engineering trade-offs, real cost of hardware independence, and lessons for choosing AI infrastructure.