Moving reporting off spreadsheets
How to move reporting from spreadsheets into a database without losing the trust of finance and operations: target options, data modelling, quality checks and a staged migration.
Deep dives into technology trends, development practices, and engineering best practices.
How to move reporting from spreadsheets into a database without losing the trust of finance and operations: target options, data modelling, quality checks and a staged migration.
Your EU AI Act obligations depend on whether you are the provider or deployer of each AI system, and on its risk tier. Roles, duties and the dates in force as of October 2026.
EU AI Act for software teams: provider or deployer? Read More »
ISO/IEC 27001 manages information security; ISO/IEC 42001 manages the risks of AI systems. What each covers, which to do first and how to run them as one programme.
Choose a software development partner on evidence, not on the pitch: look at work similar to yours, meet the people who’d actually be on your project, check how they run delivery and handle problems, and test them with a short paid piece of work before you commit to a long contract. Price matters, but it’s
The technologies you’ll find most often among Nepali developers are JavaScript and TypeScript with React and Node.js, Python, cross-platform mobile with Flutter or React Native, PHP with Laravel, relational databases, and AWS or Google Cloud. Applied AI work, especially LLM applications and retrieval, is growing fast. Deep niches such as embedded systems are harder to
Claude Code is Anthropic’s agentic coding tool: it reads your codebase, edits files, runs commands and works with git, from the terminal, an IDE extension, a desktop app or the browser. Used well across the software lifecycle, it takes on the mechanical work (tests, refactors, upgrades, first drafts) while engineers keep ownership of design, review
Using Claude Code across the SDLC: an enterprise guide Read More »
A CI/CD pipeline is the automated path from a code change to production: every commit is built and tested automatically (continuous integration), and every change that passes is packaged and released to staging and production with as few manual steps as possible (continuous delivery or deployment). For an enterprise team, the goal is small, frequent,
Building a DevOps CI/CD pipeline for enterprise teams Read More »
Enterprise AI security means protecting the models, data, prompts and infrastructure behind your AI features, not just the application code around them. Most of the controls you already run for ordinary software still apply. What changes is that the model itself becomes an attack surface: it can be fed poisoned data, tricked by crafted inputs,