Stripe

Non-coders Can Build Products Using LLMs

A Dev.to how‑to describes how a college student who couldn't code used large language models (LLMs) to build a Chrome extension (select text → right‑click → translate). Instead of teaching raw syntax, the author created a video showing how to instruct an AI (ChatGPT), paste and test generated code, and iterate on errors. The author then tested the tutorial from the perspective of a complete beginner, identified practical usability pitfalls (installer flows, hidden file extensions, localized UI, API key formats, and debugging tools), and converted those lessons into reusable production processes (script auditing, subtitle engine rules, visual style library, and a publishing checklist). The post argues non‑coders can ship simple products by mastering how to prompt LLMs, place outputs correctly, and handle failures rather than learning every programming detail.

Five FAQ for Junior Engineers about AI

Kay Ashaolu published a short FAQ-style essay answering five common questions junior engineers ask about AI. The piece argues AI will automate boilerplate and fast implementation but not replace the harder judgment work of deciding what to build, designing resilient systems, and spotting failure modes. Ashaolu advises engineers to decide architecture before using AI for implementation, review AI-generated code like a teammate's PR, and build judgment through making design decisions and learning systems patterns (services, queues, databases, background workers). The article recommends shifting effort from raw output toward systems thinking and design conversations to stay valuable as AI changes development workflows. It was posted to DEV Community and originally published at systemthinkinglab.ai on 2026-07-05.

Dirora: e-commerce platform with 68+ built-in features

Dirora is a multi-tenant e-commerce platform built around the principle that common merchant features should be included by default rather than sold as paid add-ons. The team designed a composable, API-first system composed of 40+ Go microservices, using PostgreSQL (system of record), Redis, and an S3-compatible object store, fronted by Traefik. Dirora offers a visual theme editor, headless/API-first capabilities, and a long list of native features (reviews, loyalty, subscriptions, multi-currency, B2B quotes, manufacturing, help desk, etc.). The platform charges no transaction fees and applies a declining platform fee (1.5% Starter → 0% Enterprise) across plans priced at £0, £19, £59 and £299/month. A live integrations directory includes accounting, fulfillment, analytics, social pixels and messaging tools; payments are processed via Stripe with support for Apple Pay, Google Pay, Klarna, Clearpay and PayPal.