Ideas for building software that actually ships
Field notes from our engineers on AI, product engineering, cloud, data and the craft of delivering software that lasts.
Latest articles
28 articles
OMANGOM Certifications & Partnerships: What They Mean for Your Project
Our ISO 9001:2015 certification, official partnerships with OpenAI, Shopify, Zoho, Odoo and Businessmap, and NASSCOM membership: what each means for your project.
AI Agents vs Traditional Automation: What Should Your Business Build?
How AI agents and rules-based automation really differ, why a chatbot is not an agent, and a practical step-by-step test for deciding which approach fits each part of…
RAG vs Fine-Tuning: Which AI Approach Is Right for Your Business?
A practical way to choose between retrieval-augmented generation and fine-tuning: separate knowledge gaps from behavior gaps, compare costs and risks, and see which approach fits common business scenarios.
How to Reduce Technical Debt Without Slowing Product Development
A practical playbook for paying down technical debt without freezing the roadmap: how to measure it, prioritize by impact, budget capacity, refactor safely and prevent new debt from…
How to Integrate AI Into an Existing Business Application
An engineering guide to adding AI to software you already run: choosing the first workflow, readiness checks, four integration patterns, legacy systems without APIs, security and a phased…
CI/CD and DevSecOps: How to Ship Faster Without Adding Risk
How to combine CI/CD and DevSecOps so your team ships more often with less risk: pipeline stages, automated security checks, secrets and supply chain controls, safe releases and…
How to Choose the Right Technology Stack for Your SaaS Product
A layer-by-layer guide to choosing a SaaS technology stack: backend languages, databases and tenancy, frontend, cloud and DevOps, plus example stacks by product type and mistakes to avoid.
AWS vs Azure vs Google Cloud: Which Cloud Platform Should You Choose?
A practical, vendor-neutral comparison of AWS, Azure and Google Cloud for startups and mid-sized businesses: core services, data and AI, Kubernetes, identity, pricing models, skills and when multi-cloud…
From AI Proof of Concept to Production: What Changes?
What really changes when an AI prototype becomes a production system: data pipelines, measured quality, reliability, governance and ownership, plus practical readiness gates for deciding when to launch.
How AI Personalization Can Improve Ecommerce Conversion
How AI personalization improves ecommerce conversion: the data it needs, where to apply it across search, recommendations and merchandising, how to respect privacy and consent, and how to…