AI

An inside look at Money Forward's engineering journey to secure long-context Japanese VoC data for AI innovation using an LLM-based PII redaction pipeline.

At Money Forward Vietnam (MFV), our AI-First strategy goes beyond procuring external tools; it’s a deliberate cultural shift. The company’s vision has empowered our engineers with the autonomy to build proprietary AI Agents that target and resolve deep, systemic workflow friction from the ground up.

At Money Forward Vietnam (MFV), we believe that AI-first isn't an empty propaganda; nurturing it requires a culture where engineers are empowered to challenge the status quo. To honor this spirit, we launched the AI Hero Award. Far from being just another corporate trophy, this peer-recognized initiative was created to spotlight the "real-world stories" of our engineers during MFV's transformation into an AI-First organization.

At Money Forward Vietnam (MFV), being an "AI-first" company means much more than just typing better prompts into a chat interface. We are building AI at the architectural level. While the industry is still fixated on "Prompt Engineering", our engineering teams have already transitioned to a more rigorous, scalable discipline: Context Engineering. In this deep dive, MFV AI Engineer Henry Vo breaks down the architecture of information, the "pathologies" of AI context windows, and how MFV is fundamentally changing the software development lifecycle.Part 1: The Vision - A Cognitive ShiftThe evolution of artificial intelligence from simple chat interfaces to sophisticated, autonomous digital

Beyond Engineering: How we are revolutionizing Product, Design, and QA with unified AI workflows.

At Money Forward Vietnam (MFV), we engineer No.1 Back-Office AI platforms for the Japanese market. Achieving seamless scaling complex microservices without defects requires intensive quality from the tech team behind it, and an AI-native mindset.

To win the Most Valuable Team (MVT) Award at Money Forward Vietnam, it takes more than just coding skills. It takes a "Product Mindset," a dash of AI innovation, and an obsession with User Focus.

We are delighted to announce that Money Forward has been featured in a global case study by Anthropic PBC (“Anthropic”) by advancing “Claude Code, powered by Anthropic” to build an AI-native engineering organization.

Question 1:1. AI can make users more passive or overly dependent on it. What approaches can help individuals maintain critical thinking and self-reliance in the age of AI?2. Generative AI often follows strong logical patterns, which can sometimes lead our thinking in narrow or unintended directions. How can we prevent AI from shaping our perspectives too rigidly?AnswerAI is merely a tool for acceleration, similar to how a calculator speeds up computation without eliminating human mathematical reasoning. To maintain self-reliance, we must shift our role from hands-on implementers to Designers and Validators of the output. By doing so, core critical thinking shifts and focuses on high-level fa