Product design commentary #6: AI in design - cool ideas and how to make them happen

Evolutionary database design: managing change and scaling with the system

What is Generative UI?

A tour of Template method pattern with Golang

Create slides with Overleaf and ChatGPT

Should AI agents transact without human confirmation?

Redirect and Alias

Vibe culture

what-screens-want

Intro to model context protocol

Design file-sharing system - part 2: permission & password

¶ MapReduce

Submit a leave request

Go commentary #24: Coming in Go 1.24: testing/synctest experiment for time and concurrency testing

Memo profiles

Web3 development with Foundry

Database design circular

Multi-column index in DB

Frontend Report April 2025

MPA, SPA and partial hydration

How much is your ICY worth

#3 Digital transformation insights from the energy sector

Composing the Dwarves video pipeline

Bridge \$DFG from Ethereum to Base

Introduce the observer pattern and its use cases

Monitoring

Data pipeline design framework

Talks and takeaways from the scene part 3: Three Crypto Events, One Reality Check

Efficient union of finite automata in Golang: a practical approach

MBTI type INTJ

Mixpanel

Remove unused CSS styles from Bootstrap using Purgecss

Building a scalable social listening data pipeline

From markup to pixels - a look inside the DOM, CSSOM, and render tree

Modernizing complex financial systems through systematic transition

Quantization for large language models

A protocol for asynchronous shadowing

Build a MCP client for Discord

Visitor design pattern, the concept, problem solution and use cases

Evaluating caching in RAG systems

Why enterprise chose Java

Prevent layout thrashing

Proximal policy optimization

Implement Binance Futures PNL analysis page by Phoenix LiveView

LLM tracing in AI system

Attack their cash cow

RLHF with Open Assistant

Introducing HTMX - navigating the advantages and concerns

Error handling on Rust

Executive assistant

Introduce the builder pattern and its use cases

Building an AI-powered agent system with OpenRouter SDK and Web3 technologies

Mitigate blocking the main thread

AI-powered consulting sprints for rapid clarity

The contributor 'tieubao' demonstrates strong and consistent capabilities across all evaluated attributes. The articles reveal a deep technical understanding, particularly in areas such as system architecture, DevOps pipelines, AI integration, and operational monitoring, justifying a high Technician score. As a Manager, tieubao excels in articulating strategic vision, organizational culture, talent management, and sustainable growth, evidenced by clear frameworks for hiring, onboarding, and team building. Operator skills are shown through detailed process documentation, workflow optimization, and a strong focus on operational efficiency, especially in articles about deployment, monitoring, and automation. The Consultant rating is high due to extensive advisory content on client engagement, onboarding, consulting models, and requirements gathering, as well as the ability to translate technical solutions into business value. As a Builder, tieubao stands out for innovation, product development (notably the Memo platform), and entrepreneurial thinking, with a clear market understanding and emphasis on brand building. The writing style is clear, structured, and practical, with a balance of high-level strategy and concrete implementation. Overall, tieubao is an advanced, well-rounded contributor with particular strength in consulting and building innovative tech-driven organizations.

Memo build log

Client delivery and soft skills

Memo architecture

Strategic thinking behind our hiring

The Memo build and content quality pipeline

Han Ngo

The contributor 'nikkingtr' demonstrates strong breadth and depth across technical, managerial, operational, consulting, and product-building domains. Technical articles and job descriptions reveal solid engineering knowledge (Go, Rust, Elixir, CI/CD, system design) and a focus on code quality, though the writing often prioritizes process and team over deep-dive technical implementation. There is clear evidence of strategic thinking, process optimization, and operational rigor, particularly in articles on planning, reporting, and workflow. As a manager, the author shows capability in leading distributed teams, fostering culture, and implementing feedback loops, but examples of high-level decision-making or large-scale project leadership are less detailed. Consulting skills are a standout, with thorough attention to client communication, requirements gathering, and solution architecture, as seen in consulting playbooks and case studies. The builder mindset is present in product and process innovation, though the articles sometimes lack detailed market analysis or entrepreneurial risk-taking. Overall, the writing style is clear, actionable, and community-oriented, with a strong focus on knowledge sharing and continuous improvement. The scores reflect a well-rounded, experienced contributor with particular strengths in consulting and technical leadership, though not at the very top expert level in any single dimension.

Building CIMB's digital wealth platform for better customer experience

Backend engineer, Go/Elixir/Rust

Effective planning and reporting

nikkingtr

Zlatanpham demonstrates exceptional technical depth and breadth across a wide range of topics, including system architecture, DevOps, AI/LLM systems, frontend/backend engineering, blockchain, security, and mobile development. The articles are well-structured, often include implementation details, code samples, and diagrams, and reflect a strong command of both foundational and advanced concepts. As a technician and builder, the contributor excels, showcasing innovation (e.g., AI-driven products, advanced monitoring, and optimization strategies) and a clear understanding of market trends. Operator skills are evident in detailed process optimization, system monitoring, and incident response write-ups. Consultant abilities are strong, with client-focused case studies, advisory guides, and communication of solution architectures, though occasionally more depth in requirements gathering could be shown. Managerial skills are above average, with evidence of team coordination, agile practices, and project management, but less focus on high-level strategic leadership or organizational decision-making. The writing style is clear, concise, and actionable, supporting knowledge transfer and team enablement. Overall, zlatanpham is a top-tier technical contributor and builder, with robust operational and consulting skills and solid, though not outstanding, management coverage.

Optimizing initial load time for a trading platform

Setup centralized monitoring system for Hedge Foundation trading platform

Building MVP for AI-driven interview platform

§ Building LLM system

Database hardening for a trading platform

Thanh Pham

The contributor 'innnotruong' demonstrates strong technical depth and breadth across a wide range of topics, including AI/LLM integration, system design, Go programming, and internal tool development. Articles and OGIF office hour recaps reveal a consistent focus on implementation details, code quality, and process improvement, highlighting solid technician and operator skills. The contributor regularly facilitates knowledge sharing, process optimization, and operational guides, which further strengthen their operator profile. As a consultant, 'innnotruong' displays good advisory skills, especially in translating technical insights into actionable recommendations for both internal teams and clients, as well as in requirements gathering and solution architecture. The builder attribute is also strong, with repeated evidence of product development, innovation, and entrepreneurial thinking, particularly in rolling out internal tools, automations, and reward systems. Managerial skills are present, with evidence of leadership in team coordination, strategic planning, and fostering a collaborative culture, but less direct evidence of high-level decision-making or large-scale project management. Overall, the writing is clear, structured, and impactful, though it leans more toward operational and technical excellence than visionary leadership.

OGIF office hours #37 - AI fine-tuning, data archiving, and datalake scaling with Notion

Streamlining internal tool development with managed LLMOps: A Dify case study

OGIF office hours #28 - Golang sync.Map, generative AI UX design patterns, Yelp's AI use cases, design patterns in LLM application, and Dify github analyzer

mytruong

The contributor 'monotykamary' demonstrates strong technical depth and system design expertise across a wide array of advanced topics, particularly in AI, LLM workflows, data engineering, and knowledge management systems. Articles such as 'MCP playbook code flow', 'Build a brain that never forgets', and 'Building a local search engine for our Memo website' showcase in-depth understanding of implementation details, architectural choices, and modern toolchains (e.g., TimescaleDB, DuckDB, LLMOps, OAuth 2.1, pgvector). Code samples, RFCs, and system diagrams are frequent, reflecting high technical competence and a focus on reproducible, scalable engineering solutions. Operator skills are evident in detailed process optimizations and workflow automation discussions. The contributor also exhibits good consulting and builder attributes through case studies, advisory guides, and innovation in product thinking, though less evidence is found of direct people management or large-scale team leadership, which slightly limits the manager score. The writing is clear, educational, and focused on actionable insights, with a strong bias toward practical, cutting-edge solutions. Overall, this is a highly capable technical leader and architect, with some but not extensive coverage of traditional management roles.

MCP playbook code flow

Build a brain that never forgets

Building a local search engine for our Memo website

duynglam demonstrates a high level of technical depth and breadth across a diverse array of projects, particularly in software engineering, DevOps, and product development. The case studies and technical articles reveal strong implementation skills, system architecture knowledge, and a focus on code quality. As a builder, duynglam excels at bringing new products to market, driving innovation, and iterating on MVPs for startups and enterprises alike. Operator skills are evident in process optimization, incident response, and operational excellence, especially in scaling systems and ensuring reliability. The consultant and manager scores reflect strong client communication, advisory abilities, and team leadership, highlighted by mentorship programs, hiring processes, and knowledge sharing. While the management approach is collaborative and thoughtful, it's less focused on traditional corporate leadership, slightly lowering that score. Overall, duynglam is a well-rounded contributor with standout strengths in building and technical execution.

Making crypto transfers faster and easier

The contributor 'huynguyenh' demonstrates strong operational and technical skills across a diverse set of articles. Technically, their work on Devbox, Nix, Docker, and Go Selenium shows a solid grasp of system setup, containerization, and practical coding, though the depth is more practical than deeply innovative or algorithmic. Operationally, the contributor excels in designing and documenting efficient processes, checklists, and compliance programs, indicating high attention to detail and consistent execution. Managerial and consultant attributes are present through contributions to hiring, onboarding, and collaboration guidelines, but tend toward procedural over strategic leadership or high-level client advisory. As a builder, the contributor has experience in product/platform development (e.g., payment and community platforms), though innovation and market insights are less emphasized. The writing style is clear and actionable, but occasionally lacks depth in strategic or architectural vision. Overall, 'huynguyenh' is a strong operator and technician, with good, but not exceptional, skills in management, consulting, and product building.

Using Devbox to setup local development environment

Building a payment platform from scratch

Compliance check process

huynguyenh

baenv demonstrates strong technical depth, especially in areas like blockchain, DevOps, and reproducible development environments. The articles are detailed, with clear explanations of complex topics such as Nix, Docker, blockchain protocols, and data engineering patterns. Code examples and implementation details are frequently present, showing hands-on expertise. Operator skills are evident in process optimization and system reliability discussions, especially around Devbox and production workflows. As a builder, baenv shows innovation in adopting and advocating for new tools (e.g., Devbox, Nix) and translating them into practical team solutions. Consultant skills are present via advisory content, but less emphasis is placed on direct client interaction or requirements gathering. Managerial attributes are the weakest; while some articles touch on team onboarding and workflow improvements, there is little strategic leadership or project management narrative. Overall, baenv is a highly competent technical contributor with a builder/operator orientation, but with less focus on people management or high-level consulting.

Reconstructing historical trading PnL: a data pipeline approach

Devbox in production: our success story

Implementing data snapshot pattern to persist historical data

bean

The contributor 'fuatto' demonstrates strong technical expertise in Go, with articles frequently delving into advanced language features, benchmarking, concurrency, and system-level programming. The writing is clear, code-heavy, and focused on implementation details, with regular inclusion of real-world code samples and explanations of underlying mechanisms. This showcases a solid grasp of technical depth and problem-solving. Operator skills are above average, evidenced by coverage of process optimization, benchmarking tools, fuzz testing, and system administration topics. Managerial and consultant attributes are less prominent; while some articles touch on enterprise adoption, standards, and best practices, there is limited evidence of leadership, team coordination, or client advisory. The builder attribute is moderate: the contributor covers product development tools and new frameworks, but rarely discusses market fit or entrepreneurial strategy. Overall, fuatto is a strong technical writer with deep Go expertise, but with less focus on leadership, consulting, or product innovation at the business level.

Go commentary #22: GoMLX: ML in Go without Python

Go commentary #18: Fuzz testing Go HTTP services

Phat Nguyen

Ooohminh demonstrates broad awareness of technology trends, startup ecosystems, and practical product development, particularly in AI, blockchain, and Southeast Asian tech markets. The writing is accessible, with a clear focus on summarizing industry events, product launches, and investment trends. Technical depth is moderate: while the articles reference implementation stacks (e.g., for Screenz.ai), most content is high-level and lacks detailed code, architectural diagrams, or in-depth system design. Operator skills are shown via process guides (staking, bridging tokens), but these are step-by-step tutorials rather than advanced operational discussions. Management and leadership attributes are present in team coordination and MVP delivery narratives, but strategic depth and decision-making frameworks are limited. Consulting skills are the strongest, with recurring market analysis, requirements framing, and advisory tone, but lack of deep solution architecture or client-specific case studies keeps the score moderate. Builder/innovation qualities are present in coverage of MVPs and startup case studies, yet the entrepreneurial and market insight is not deeply analytical. Overall, ooohminh is a solid generalist with strengths in tech consulting and ecosystem reporting, but would benefit from deeper dives into technical, operational, and leadership topics.

AI for fast and fair talent search

minh

The contributor 'thanhpn' demonstrates solid technical knowledge, particularly in reinforcement learning, blockchain, and large language models. The articles are generally well-structured and provide clear explanations of core concepts and architectures (e.g., PPO, Q-learning, Polygon zkEVM, vector databases). However, the depth of technical detail, especially in implementation and code-level aspects, is moderate rather than advanced, and hands-on problem-solving or system design expertise is not deeply evidenced. There is little indication of leadership, team management, or project strategy, resulting in a low 'manager' score. Operational aspects, such as process optimization or incident response, are touched on in certain blockchain articles but not systematically covered. As a consultant, the contributor shows some ability to summarize and explain complex ideas, but there is limited evidence of client advisory, requirements gathering, or solution architecture. The 'builder' score reflects some initiative in prototyping and product-oriented thinking (notably the chatbot guide), but there is little evidence of entrepreneurial insight or market analysis. Overall, the articles are strong for technical overviews and learning but lack depth in advanced engineering, management, and business innovation.

Pham Thanh

trankhacvy demonstrates solid technical knowledge, particularly in frontend development, blockchain, and Rust. The articles provide clear explanations, relevant code samples, and practical comparisons (e.g., Solana vs. EVM, Remix vs. Next.js). Technical depth is good but not exceptional—there is limited evidence of advanced system design or highly complex implementations. The writing style is concise and accessible, though at times lacks depth in edge cases or performance considerations. There are few signs of management or leadership qualities; the articles are mostly technical guides or overviews, with little focus on team processes, project management, or strategic decision-making. Operator skills are present in discussions of process optimization and technical choices, but incident response and operational efficiency are not deeply covered. Consulting ability is moderate, with some advisory tone and client-facing explanations, but limited evidence of deep requirements gathering or solution architecture. Builder/innovation skills are above average, as seen in the exploration of new technologies and frameworks, but entrepreneurial or market insights are not a primary focus. Overall, trankhacvy is a competent technical writer with strengths in teaching and explaining modern tech, but less evidence of leadership, operational, or consulting excellence.

Build polymorphic React components with Typescript

Khac Vy

Ngolapnguyen demonstrates strong technical expertise, particularly in frontend technologies, React, CSS, and architectural patterns such as micro frontends. The articles are well-structured, reference up-to-date tools and trends, and often include implementation details, code snippets, and practical guidance. Technical depth is evident, especially in system design and advanced frontend topics. However, while there are some case studies and discussions of collaborative work, explicit leadership, project management, and team coordination skills are less prominent, leading to modest manager and operator scores. Consultant skills are above average, as the author provides clear explanations and some advisory context, but the writing is more educational than client-oriented. Builder/innovation traits are present in discussions of new approaches and product design, but entrepreneurial and market-focused thinking is not a main emphasis. Overall, the contributor is a strong technical writer and educator with room to grow in leadership, operations, and product strategy.

Designing a model with dynamic properties

Ngo Lap Nguyen

The contributor 'huytieu' demonstrates solid operational and managerial skills, particularly in process optimization, project delivery, and team coordination. Articles like project checklists, delivery guidelines, and estimation methods show strong attention to process, communication, and operational rigor, meriting a higher operator score. Technical depth is present in some case studies (e.g., Konvoy, CIMB), but tends to focus on high-level solutions and architecture rather than in-depth code or system design, resulting in a moderate technician score. Leadership and management qualities are evident through structured guidelines, communication checklists, and project management advice, supporting a good manager rating. Advisory and consulting skills are demonstrated in estimation and delivery guidance, though most articles are internally focused and lack broader client engagement or advanced solution architecture, yielding a moderate consultant score. Builder/entrepreneurial attributes are present but not dominant, as most contributions are operational or process-driven rather than innovative product creation. Overall, the writing is clear and practical, with strengths in operational excellence and project management, but less emphasis on deep technical or entrepreneurial innovation.

Making keg management smarter for breweries

Huy Tieu

The contributor 'nnhuyhoang' demonstrates strong technical depth, particularly in AI, LLMs, and system integration. Articles provide clear implementation details, code snippets, and practical system design, showcasing a high level of technical competence (Technician: 8.7). There is evidence of process optimization and operational awareness, especially in articles about evaluation, guardrails, and prompt injection, supporting a solid Operator score (7.0). The author shows some advisory and solution architecture skills, with explanations suitable for knowledge transfer and requirements gathering, though client-facing and strategic advisory aspects are less visible (Consultant: 7.2). Product-building and innovation are present in case studies and technical explorations, but entrepreneurial market orientation is not deeply covered (Builder: 7.5). Managerial indicators such as leadership, team coordination, and decision-making are limited or implicit, resulting in a modest Manager score (5.0). Writing style is clear and focused on technical audiences. Overall, the author is a strong technical contributor with some strengths as a builder and operator, but less evidence of leadership or high-level consulting.

Building chatbot agent to streamline project management

nnhuyhoang

The contributor demonstrates solid technical understanding in the AI/LLM space, with clear explanations of protocols, observability, evaluation, and feedback mechanisms. The articles are technically accurate and practical, showing familiarity with concepts such as RAG systems, metrics, logging, tracing, and hybrid search. However, the technical depth is often introductory to intermediate, lacking advanced implementation details or original code samples that would elevate the technician score further. Operator skills are evident in the focus on monitoring, metrics, and operational best practices, but the content lacks deep system administration or incident response scenarios. Managerial and consultant qualities are present but not strongly developed; the articles are mostly individual contributions rather than showing leadership, project management, or client advisory in real-world contexts. Builder/innovation is moderate; the author discusses product features and evaluation but does not showcase unique product development, market analysis, or entrepreneurial insight. Overall, the writing is clear and well-structured, aimed at practitioners and newcomers, with a good grasp of modern AI application requirements.

Nguyen Dat

The contributor's articles are primarily process guides, checklists, and operational memos focused on team workflows, onboarding, and technical how-tos. The technical depth is moderate, with clear step-by-step instructions but limited advanced implementation details or code samples. Operator skills are the strongest, as the content demonstrates a solid understanding of process optimization and system administration (e.g., backup procedures, workflow setup, crypto wallet management). Managerial and consultant attributes are present but not deeply developed—there is some evidence of team coordination and requirements gathering, but little on strategic leadership, decision making, or complex solution architecture. The builder/innovation aspect is weak, as the articles focus more on maintaining and documenting existing processes rather than product development or entrepreneurial insight. Writing style is clear and instructional, but lacks depth in system design and advanced problem-solving. Overall, the contributor is a competent operator and process documenter, but shows limited expertise in higher-level technical, management, or product-building roles.

Back up artifact

minhcloud

nambui

An Tran

anna

The contributor 'lmquang' demonstrates strong technical expertise across various complex domains including blockchain token swaps, AI data pipelines, and system monitoring. The articles reflect solid technical depth with clear explanations of implementation details, system design, and problem-solving approaches, justifying a high Technician score. There is evidence of operational knowledge in monitoring, security, and system reliability, supporting a good Operator rating. Managerial skills are moderately reflected through case studies involving coordination and strategic planning but lack explicit leadership or team management narratives, resulting in a moderate Manager score. Consultant attributes appear through advisory-style content and solution-oriented explanations, though somewhat limited in direct client engagement or strategic decision-making. The Builder attribute is well supported by contributions to product development and innovation, particularly in AI tooling and blockchain integration, though the articles lean more towards technical implementation than entrepreneurial vision. Overall, the contributor presents a well-rounded profile with strengths in technical execution and operational reliability, moderate consulting and managerial abilities, and solid product development involvement.

Implement a token swap from the Base chain to Bitcoin for cross-chain transactions

Quang Le

Trần Hoàng Nam

hthai2201

namtran

Hieu Vu

Nam Nguyen Dinh

Huy Nguyen Quang

Phan Quang Hieu

Cuong Mai (R Jim)

Pham Dat

Hien Le

haongo

minhlq

Thomas Nguyen

Toan Ho

Chinh Le

tranthiaivi266

jack

The contributor demonstrates solid technical knowledge, particularly in software design patterns and frontend UI frameworks, as evidenced by the detailed explanation and code example of the Builder pattern and the insightful comparison of CSS frameworks like Tailwind and Bootstrap. The technical depth is moderate with practical code snippets and clear conceptual explanations. However, there is limited indication of leadership, team coordination, or project management skills, reflected in the low Manager score. The articles show some awareness of operational concerns like efficiency and customization, but not in depth, resulting in a low Operator rating. Consultant skills are modest, as the contributor provides advisory-like insights into UI framework choices but lacks explicit client communication or requirements gathering context. The Builder attribute is moderate, indicating some entrepreneurial or product development mindset through pattern application and UI framework evaluation but without strong innovation or market strategy discussion. Overall, the contributor is a technically competent writer with room to grow in leadership, operational expertise, and consulting capabilities.