Recent Blog Posts
Insights on AI Agents, Modern Web, and the Future of Engineering.
Scaling Beyond the Single Agent: Distributed Gemini 3 Clusters on Kubernetes
A single agent is a request; a cluster is a service. Learn to run distributed Gemini 3 agent workloads on Kubernetes with disaggregated prefill/decode, KV-cache-aware routing, gang scheduling, and SLO-driven autoscaling.
Gemini 3 for Accessibility: Real-time Multimodal Translation for the Inclusive Web
Accessibility is a multimodal problem: captions for the deaf, narration for the blind, sign language for signers. Learn to build an inclusive web layer with Gemini 3 that translates between speech, text, sign, and braille in real time — privacy-first and in the browser.
Gemini 3 in EdTech: Personalized Tutors that Adapt to Real-time Student Affect
The best tutor notices when you are confused, bored, or stuck — and changes how it teaches. Learn to build an adaptive Gemini 3 tutor that reads student affect in real time, adapts difficulty with cognitive-science models, and asks questions instead of handing out answers.
Building a Collaborative Gemini 3 Editor: Real-time Writing and Fact-Checking
Stop copying text between a doc and a chat window. Learn to build a collaborative editor where a Gemini 3 agent is a first-class co-author — reading, editing, and fact-checking the shared document through CRDTs in real-time.
The "Persona-Shift" Pattern: Dynamic Expert Simulation in Gemini 3
A static persona limits an agent to one role. Learn the Persona-Shift pattern: dynamic expert switching in Gemini 3 agents that lets a single model act as planner, critic, and specialist across a workflow — without persona drift.
Gemini 3 in LegalTech: Automating Complex Contract Audits with High-Precision Reasoning
Contracts are full of computational clauses that probabilistic models get wrong. Learn to build a production-grade contract audit system that pairs Gemini 3 extraction with a deterministic rule engine to eliminate the "reasoning cliff" and the hallucination risk.
Green AI: Optimizing Gemini 3 Reasoning for Low-Power Infrastructure
AI inference is primarily a data-movement problem, not a compute problem. Learn practical strategies to reduce the energy cost of Gemini 3 reasoning: token budgeting, model selection, quantization, speculative decoding, and measuring impact per prompt.
Gemini 3 in Cyber-Defense: Real-time Threat Hunting and Automated Mitigation
Threat hunting is a reasoning problem, not a pattern-matching problem. Learn to build a Gemini 3-powered defensive agent that hunts threats across SIEM data, maps behavior to MITRE ATT&CK, and automates mitigation with human-in-the-loop gates.
Agentic Game Design: Procedural World Building with Gemini 3 Multimodal Guidance
Games are multimodal by nature: maps, sprites, audio, and physics all have to agree. Learn to build an agent that designs and builds 3D game worlds with Gemini 3, using a constrained schema compiler and a generate-see-correct vision loop.
Agents in VR/AR: Navigating 3D Spaces with Gemini 3 Native Spatial Reasoning
Spatial reasoning is what lets an agent understand the difference between "on the table" and "next to the table." Learn to build VR/AR agents that perceive 3D space with Gemini 3, ground actions with bounding boxes and trajectories, and act through WebXR.
Batch Inference at Scale with Ray
Offline LLM work — scoring, summarization, backfills — needs throughput and reliability, not latency. Distribute thousands of calls with Ray tasks and actors, retries, and structured cost tracking.
Streaming Inference with FastAPI and Server-Sent Events
Turn a blocking LLM call into an incremental, observable stream of tokens with FastAPI StreamingResponse and Server-Sent Events — including cancellation and backpressure.