Articles
Notes on product definition, system architecture, applied AI and delivery — the things I actually use when building real products.
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Most software products don't fail because of bad code. They get lost between what the business needs and what the team builds. Where that gap comes from, how to spot it, and how to close it.
Read articleA product requirements document is where business and engineering meet. This guide covers the sections a useful PRD needs, what to leave out, and how to keep it short enough to be read.
Read articleAn MVP is not a broken version of the product. It is the smallest version that solves one real problem completely. A practical way to choose features, park the rest and stop scope creep.
Read articleYou don't have to choose between building fast and building right. Draw the system's boundaries correctly from the start, put the simplest implementation behind each one, and grow later without a rewrite.
Read articleAn AI sales assistant is not a rule-based bot. It answers from the store's real catalogue, reads buying intent and hands the conversation to a person when it should. A look at the parts that make it work.
Read articleA progressive web app runs on Android, iOS and desktop from one codebase, installs like an app and updates without an app store. Here is what PWAs are good for, and where you still need native.
Read articlePayment providers, SMS, databases and AI models all change eventually. The ports-and-adapters pattern turns that change into replacing one file instead of rewriting the product. A plain explanation with real examples.
Read articleA chatbot answers; an AI agent gets things done. The difference lies in tools, memory and the authority to act. Where each one fits, and when building an agent is worth it.
Read articleA good AI assistant knows when to step aside. Designing the moment a conversation passes to a human operator is what separates a trustworthy product from an irritating one. Triggers, method and common mistakes.
Read articleSeven questions answered before design and development can save months of rework. They pin down the problem, the user, the success metric and the main risks of a product.
Read articleSix months on, nobody remembers why this database or this structure was chosen. An architecture decision record is a one-page note that keeps the reasoning behind each important decision and ends repeat debates.
Read articleTechnical debt isn't always bad. Like a loan, taken deliberately and with a repayment plan it can help a product move faster. How to tell good debt from bad, and how to pay it down without stopping delivery.
Read articleIn a SaaS product many customers share one system, and no customer's data may reach another. The three main tenancy models, what each costs, and the mistakes that lead to data leaks.
Read articleWhen the API contract is written before the implementation, front-end and back-end teams work in parallel, disagreements surface early and integration at the end is no surprise. The approach and the design rules.
Read articleAdding a chat box doesn't make a product intelligent. AI earns its place when it shortens or enables a real task for the user. Four questions that separate real use from a demo.
Read articleIn an AI product every answer costs money, and user growth can turn into growing losses. A multi-model gateway, the right model for each task, caching and usage caps make the cost predictable.
Read articleAn AI assistant speaks for the brand, and every sentence is credited to you. Defining its persona, tone, scope and red lines is design work, not just a few lines of instructions. A practical method and common pitfalls.
Read articleAn AI product can't be approved with a handful of manual tries. An evaluation set, clear criteria and a quality gate before each release are the only dependable way to change models and prompts without breaking the product.
Read articleWhen someone buys an expensive or refurbished item, the obstacle isn't the price. It is doubt. Trust design means answering the buyer's worries before they ask: clarity, evidence, guarantees and a purchase path with no surprises.
Read articleThe form is where a visitor becomes a customer or leaves. Progressive disclosure, the right question order, kind error messages and spam protection that doesn't punish real users make a form that feels effortless.
Read articleA good Persian or Arabic product isn't a mirrored English one. Direction, typography, digits, mixed-language text and icons each have their own rules. A practical guide to designing and building right-to-left interfaces.
Read articleDesign systems aren't only for large companies. With a few tokens, ten base components and a handful of clear rules, a small team can ship a consistent product and build faster. Where to start, and what you can skip.
Read articleProjects reviewed only at the end find their mistakes when fixing them has become expensive. An approval gate after each stage stops a mistake where it happens and gives the client real control.
Read articleIn large projects requirements disappear quietly: something agreed in a meeting is never built or never tested. A traceability matrix links each requirement to its design, code and test so nothing falls through.
Read articleWhen definition, design and build are split across several people and teams, each does its part well and the result is still wrong. The product architect's job is to fill the space between those parts.
Read articleAI tools have made writing code fast, but not deciding what to write. A team benefits from them when it already has a precise definition, a clear architecture and automated tests. The human role has changed; it hasn't gone.
Read articleSecurity isn't a feature you add later. A few simple decisions at the start — validating input, handling passwords and keys properly, least privilege and security headers — prevent most common incidents.
Read articleGoogle's three page-experience metrics — loading speed, responsiveness and layout stability — affect both search ranking and whether users stay. What each one measures and the specific work that improves it.
Read articleSome searches now end in a ready-made answer instead of a list of links. Generative engine optimisation means content an AI can find, understand and cite with confidence.
Read article"Total users" and "page views" feel good and decide nothing. A good metric is tied to real user behaviour, is measurable, and tells you what to do when it moves. How to choose the right one.
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