Engineers' blog

Can software engineers solve the riddles of Cost Optimization of their own products? On Jan 9, Money Forward Vietnam (MFV) and Money Forward Japan (MFJ) made history; we launched our first-ever Global AWS Cost Optimization Competition. It was a high-stakes, GameDay-style battle in an AWS-sponsored Sandbox where your mission was just: Optimize or go broke on our product. Special Thanks To AWS TAM for being a co-host as well as a platform sponsor for this program.

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

 The energy at the AI Hackathon MFV was electric. The air buzzed with the hum of laptops, the rapid-fire typing of code, and the passionate discussions of teams trying to build something magical in just eight hours. My team, “Bante” was right in the thick of it, fueled by coffee and a shared vision. By the end of the day, our vision—the User Engagement Assistant—not only came to life but also earned us one of the three coveted winning awards.This post is the story of that incredible 8-hour journey. I’ll take you behind the scenes of how our five-person team designed, built, and deployed an AI-powered platform to decode customer feedback. We'll dive into our tech stack, explore

At conac team, deployment is not a rare event—it’s a daily routine. Instead of bundling weeks of changes into a risky big-bang release, engineers ship small, incremental updates every day. This practice, known as daily deploy, is one of the foundations of modern continuous delivery.

BackgroundHi,I'm Felix from the UnitedForce. We're a team has 4 members who come from various projects, and we collaborate as a team in the AI Hackathon team held by Moneyforward Vietnam. We want to challenge themself to build somethings truly valuable in a short time with AI.This change not only motivated us but also a change for us to review the knowledge about some AI tools.User focus is one of the important MVVC of Moneyforward, that why understanding user feedback is crucial for continuous improvement and customer satisfaction. However, analyzing vast amounts of raw text feedback can be daunting. Traditional methods often fall short, leading to missed insights and delayed responses. Ent

IntroductionHi, I’m Hugo — a Software Engineer on the Tax Adjustment team. In this post, I’ll show you how to generate polished PDFs in React with React PDF Renderer, sharing practical patterns and tips from my day-to-day work.In modern web applications, generating professional PDF documents is a common requirement—think invoices, reports, certificates, contracts, and more. React PDF Renderer brings the familiar React component model to PDF generation, making it easy to design documents using JSX, styles, and a declarative approach.  Why React PDF Renderer?Before building, here’s why React PDF Renderer is a great choice:1. React-like APIUses familiar components and JSX &n

1. IntroductionThe realm of Artificial Intelligence is constantly evolving, presenting new challenges and opportunities for innovation. At Money Forward, we're always eager to push the boundaries of what's possible, and the recent AI Mini Challenge presented a fantastic opportunity to do just that. This internal competition challenged teams to explore and implement AI solutions to real-world problems. It was an intensive yet incredibly rewarding experience, and we're excited to share our journey and the technical insights we gained.We are a team of engineers at Money Forward who came together for the AI Mini Challenge, bringing a strong mix of backend and frontend expertise. As backend engin

1. IntroductionHey everyone! I'm Dante, and I'm part of the Bante team, a group of five enthusiastic developers – Barry, Jett, Andre, Chein, and myself. We are all Backend Developers.2. SituationBefore this challenge, most of us were primarily AI users. We'd interact with AI tools and marvel at their capabilities, but the inner workings remained a bit of a black box. This sparked a deep curiosity: we wanted to peel back the layers and understand everything about AI, from Large Language Models (LLMs) and embeddings to indexing, agents, and post-processing. The mini-challenge presented the perfect opportunity to learn by building, pushing us to create a practical AI tool from the ground up.O

Hi everyone! I'm Hugon, a Golang Engineer working on the Lease Accounting project. I'm excited to share the story of how my team and I tackled a company-wide AI mini-challenge and won the Evolution prize! Our journey wasn't about building a complex AI from scratch, but rather about solving a real-world problem for our team.Why We Joined the ChallengeMy main motivation for participating was simple: I wanted to find a way to use AI to boost productivity for both developers and Product Owners on my team. The mini-challenge gave me the perfect opportunity to explore this idea.Initially, we thought we'd build a RAG (Retrieval-Augmented Generation) system and an AI agent completely from the ground