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Technical insights on AI engineering, custom software development, and bringing ML to production.
Computer Vision in React Native: A Practical Guide with ExecuTorch v0.8.0
Classification, detection, segmentation, OCR, and vision-language models — all running on-device in your React Native app. A complete guide to CV with react-native-executorch v0.8.0.
Best On-Device LLMs for Android in 2026: React Native ExecuTorch Guide
Run local language models on Android in 2026 — benchmarks, model recommendations, and production-ready code examples using React Native ExecuTorch.
Real-Time AI Agents: Beyond Chatbots
AI agents are evolving from chatbots to real-time video systems. Technical requirements, use cases, and architecture for latency-sensitive AI agents.
How Agentic Engineering Eliminates the Build vs Buy Friction
Agentic engineering tools let teams prototype in hours, but vibe coding to production requires a new discipline: the Vibe-to-Production Maturity Model.
On-Device AI on Android in 2026: Sub-20ms Inference Without Cloud Latency
Run production AI on mid-range Android phones in under 20ms — no cloud round-trips, no privacy exposure, near-zero marginal cost. ExecuTorch benchmarks, framework comparison, and a 5-factor edge-vs-cloud decision matrix.
The True Cost of Custom SaaS Development in 2026
Custom SaaS costs in 2026: from $50k MVPs to $250k enterprise platforms, plus hidden SaaS sprawl costs and a build vs buy decision framework.
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