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Vitalify Asia Tech Blog

Engineering notes, product thinking and offshore development insights from the Vitalify Asia team.

82 articles

How Far Can Crafting Apps Replace Adobe?
FeaturedProduct Development

How Far Can Crafting Apps Replace Adobe?

Crafting Apps is a suite of seven open-source creative applications aiming to cover key Adobe Creative Cloud workflows. This article compares their current maturity, Rust and local-first architecture, AI agent/MCP support, and potential as an agent-native creative suite.

Son Phung
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Latest articles

Cyc — 40 Years of Trying to Write Common Sense by HandAI Development

Cyc — 40 Years of Trying to Write Common Sense by Hand

Cyc is an AI project launched in 1984 to encode human common sense by hand. This article traces Douglas Lenat’s path from AM and Eurisko to CycL, microtheories, OpenCyc, the contrast with LLMs, and the renewed interest in neuro-symbolic AI.

Toshihiko Nagaoka
Minimizing Release Downtime with Blue-Green DeploymentProduct Development

Minimizing Release Downtime with Blue-Green Deployment

Blue-Green Deployment runs two environments in parallel so you can deploy and test a new version before switching traffic. This guide covers Nginx, Compute Engine, Cloud Build, instant rollback, database migrations, sessions, background workers, costs, and comparisons with Rolling and Canary.

Dat Chu Tien
Is Your “Digital Twin” Just an Expensive 3D Model? The Essence Is State Synchronization, Not AppearanceDigital Twin

Is Your “Digital Twin” Just an Expensive 3D Model? The Essence Is State Synchronization, Not Appearance

A high-fidelity 3D model alone does not make a digital twin. This article explains why state synchronization matters, how digital models and digital shadows differ, why real-time updates are not always necessary, when 3D is useful, and five questions to answer before implementation.

Toshihiko Nagaoka
Isaac Sim Is Not Just a Heavyweight Unity — 4 Decisive Reasons to Move Beyond ML-AgentsAI Development

Isaac Sim Is Not Just a Heavyweight Unity — 4 Decisive Reasons to Move Beyond ML-Agents

Isaac Sim and Unity ML-Agents both support reinforcement learning, but differ greatly in architecture and robotics focus. This article compares GPU parallelism, contact physics, domain randomization, sensor simulation, and ROS 2/URDF/USD integration, while showing where Unity still excels.

Toshihiko Nagaoka
What Is Reinforcement Learning? What Was Happening Behind That “Extra-Dimensional Fight”?AI Development

What Is Reinforcement Learning? What Was Happening Behind That “Extra-Dimensional Fight”?

Using our NVIDIA Isaac Sim robot sumo experiment, this article explains reinforcement learning through state, action, environment, reward, and trial and error. It also shows how RL differs from supervised learning and why the robots discovered lariats, folded arms, and aerial attacks.

Toshihiko Nagaoka
Ship Production AI Features Faster with Firebase AI LogicAI Development

Ship Production AI Features Faster with Firebase AI Logic

A practical guide to shipping Gemini-powered AI features with Firebase AI Logic. Learn how App Check, rate limits, Server Prompt Templates, and Template-only Mode can reduce backend complexity—and when RAG, private APIs, trusted operations, or complex workflows still require a backend.

Cu Cong Can
VFA Launches PROSHARE in Vietnam | Exhibiting at VIBE 2026Business & Culture

VFA Launches PROSHARE in Vietnam | Exhibiting at VIBE 2026

Vitalify Asia (VFA) is launching PROSHARE in Vietnam. VFA will localize, sell, implement, and support the construction-site information-sharing tool, showcase it at VIBE 2026 in Ho Chi Minh City, and recruit free pre-users ahead of the official release.

Vitalify Asia Team
AI That Reconstructs 3D Shapes from Orthographic Drawings — Using SDF to Capture the Rough ShapeAI Development

AI That Reconstructs 3D Shapes from Orthographic Drawings — Using SDF to Capture the Rough Shape

We prototype an AI system that reconstructs 3D models from top, front and side views. Using SDF as a shape draft and exact coordinates from drawings, it achieved 97.1% mean IoU on 500 unseen tests, with 72.5% exact matches on box-based shapes. We also cover validation, limits and next steps.

Toshihiko Nagaoka
We Taught Robots "Sumo"—and They Mastered Lariats, Cossack Dancing, and Aerial CombatAI Development

We Taught Robots "Sumo"—and They Mastered Lariats, Cossack Dancing, and Aerial Combat

We trained two robots to fight sumo in NVIDIA Isaac Sim and tracked their evolution from Epoch 1 to 100. The experiment explores reinforcement learning, Sim-to-Real, domain randomization, and the unexpected strategies the AI discovered—from lariats and kicks to low stances and aerial combat.

Toshihiko Nagaoka
Developed an Agent Skill for estimating ambiguous requirementsAI Development

Developed an Agent Skill for estimating ambiguous requirements

Requirement Blueprint is an Agent Skill that helps AI analyze ambiguous customer requirements before estimation. It structures scope, features, flows, tasks, open questions, and risks while separating confirmed facts from assumptions. Benchmarks showed a 26.9% higher average score than baseline.

Vo Khanh
A Practical FIWARE PoC: Real-Time Temperature Data with OrionDigital Twin

A Practical FIWARE PoC: Real-Time Temperature Data with Orion

A hands-on FIWARE Orion PoC using real temperature data from Open-Meteo. The article covers NGSI-v2 entities, Smart Data Models, Orion subscriptions, QuantumLeap, CrateDB, Grafana, Docker health checks and practical issues encountered while building an end-to-end IoT pipeline.

Thinh Tran
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