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.
17 Sep 2026 · 6 min read
Plug VrittOS Into the Code You Already Have
Connect an existing GitHub repository and VrittOS reads it, writes the requirements, architecture and backlog it implies, and lets you add features on top — priced by repo size.
Read post17 Sep 2026 · 5 min read
Shipping Is Not the End: Adding a Feature to an App VrittOS Built
Describe the next feature and VrittOS plans it against the code you already have — same repository, same backlog, no new project slot. Here is what it skips, and what it costs.
Read post17 Sep 2026 · 5 min read
Why an AI Agent Should Tell You What It Is Doing, Every 45 Seconds
A five-minute AI task behind an unchanging spinner reads as a crash. What we measured in production, and the rule we now build to: the agent narrates, and the screen never lies about progress.
Read post29 Aug 2026 · 6 min read
When Your App's Build Breaks, VrittOS Now Notices First
A broken build used to mean a link you could not act on. VrittOS now spots it, pauses new work, finds the cause, and offers plain-language fixes.
Read post25 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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