Building software with AI, honestly explained
Practical writing on AI-native software delivery: requirements, user stories, code generation, testing, and where humans stay in the loop.
25 Aug 2026 · 7 min read
Your App Can Now Go Live: Deployment for Every Stack, In Your Own Cloud
VrittOS now deploys AI-generated apps end to end: Vercel, Netlify, Railway, Render — and Appetize for Flutter. Your accounts, your approval, verified live.
Read post15 Aug 2026 · 7 min read
From Idea to Production with AI: How an AI-Native SDLC Actually Works
What an AI-native software delivery lifecycle looks like in practice: from a one-paragraph idea to a BRD, user stories, GitHub pull requests, and tested releases.
Read post14 Aug 2026 · 6 min read
How to Turn a PRD or BRD into Jira-Ready Epics and User Stories with AI
A practical walkthrough of AI story generation: from a product requirements document to epics, user stories, and acceptance criteria your team can sprint on — synced to Jira.
Read post13 Aug 2026 · 7 min read
AI Code Generation from Requirements: Shipping via GitHub Pull Requests You Can Review
How requirement-driven AI code generation works in practice: user stories become feature branches and reviewable GitHub pull requests — never direct pushes to main.
Read post12 Aug 2026 · 6 min read
Self-Healing AI Tests: Keeping Coverage High Without a QA Backlog
How AI-generated tests plus an automated fix loop keep unit test coverage high: CI fails, an agent reads the failure, and a corrective commit lands on the same branch.
Read post11 Aug 2026 · 7 min read
AI Agents for Software Development: What They Do Well — and Where Humans Stay in the Loop
A clear-eyed guide to agentic software development: which delivery tasks specialised AI agents handle well, where they fail, and how approval gates keep humans in control.
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