Production debugging has a particular kind of frustration reserved for problems that don’t actually exist. A function deployment fails. The dashboard turns red. Alerts fire across multiple channels. Engineers abandon their current work and start combing through recent commits, reviewing dependencies, and running local tests. Code reviews get scheduled. Rollback plans get discussed. Hours pass.
Three months ago, I watched a senior engineer at a Series B startup ship an authentication bypass to production. Not because he was incompetent — he’d been writing secure code since Django was considered cutting-edge. He shipped it because GitHub Copilot suggested it, the tests turned green, and he’d learned to trust the little ghost […]
Real‑time and overnight data pipelines often succeed or fail on one thing: Can you move enough data through BigQuery and Dataflow within your SLA window? In a production Apache Beam/Dataflow environment, several large jobs started to miss their daily deadlines after a Beam upgrade. All of them shared a pattern:
Introduction The convergence of quantum computing and artificial intelligence represents one of the most exciting frontiers in modern computing. This article explores how to integrate NVIDIA’s CUDA-Q framework with Amazon Bedrock AgentCore, enabling AI agents to leverage GPU-accelerated quantum circuit simulations within their operational workflows. This integration combines Amazon Braket’s quantum computing capabilities with Bedrock’s […]
Why “Classic RAG” Breaks on Android On paper, retrieval-augmented generation is straightforward: embed the query, retrieve the top chunks, stuff them into a prompt, and generate an answer with citations. On Android, that “classic” flow runs into real constraints: Latency budgets are tight. Users feel delays instantly, especially inside chat-like UIs. Networks are unreliable. RAG […]
Why “Classic RAG” Breaks on Android On paper, retrieval-augmented generation is straightforward: embed the query, retrieve the top chunks, stuff them into a prompt, and generate an answer with citations. On Android, that “classic” flow runs into real constraints: Latency budgets are tight. Users feel delays instantly, especially inside chat-like UIs. Networks are unreliable. RAG […]
I still remember the Slack message that arrived at 2:47 AM last March. A machine learning engineer at a healthcare AI startup, someone I’d interviewed six months prior about their ambitious diagnostic model, was having what could only be described as an existential crisis. “Our fraud detection model just started flagging every transaction from zip […]
Enterprise networks are often noisy. VPNs, WAFs, proxies, mobile hotspots, and transient gateway hiccups can cause timeouts, packet loss, throttling, and abrupt connection resets. Designing resilient clients minimizes checkout/MACD friction, prevents duplicate actions, and keeps the UI responsive even when backends or the network are unstable. We have a strong toolkit for making API calls, […]
Abstract The integration of AI-enhanced microservices within the SAFe 5.0 framework presents a novel approach to achieving scalability in enterprise solutions. This article explores how AI can serve as a lean portfolio ally to enhance value stream performance, reduce noise, and automate tasks such as financial forecasting and risk management. The cross-industry application of AI, […]
Organizations today want to build chatbots capable of handling a multitude of tasks, such as FAQs, troubleshooting, recommendations, and ideation. My previous article focused on a high-level view of designing and testing chatbots. Here, I will dive deeper into how strong intent routing and orchestration should figure into your chatbot design. What Is a Multi-Use Chatbot? A […]
