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Emergent to CodeConductor Backup & Migration in Easy Steps

Emergent to CodeConductor Backup & Migration in Easy Steps

by Paul Dhaliwal | Feb 25, 2026 | Migration

Built your app on Emergent and now starting to hit structural limits? Emergent is fantastic for turning plain-English ideas into working applications fast. You describe the functionality, it scaffolds the frontend and backend, connects your database, and gets you live...
AI Application Optimization: Why Vibe-Coded Apps Fail

AI Application Optimization: Why Vibe-Coded Apps Fail

by Paul Dhaliwal | Feb 25, 2026 | Vibe Coding

Why do some AI products scale to millions of users while others fail under modest traffic? The answer is AI application optimization – how teams design relational data architecture, configure database systems like PostgreSQL, implement indexing strategies,...
Spec Driven Coding Explained: Limits, Challenges & the Next Step

Spec Driven Coding Explained: Limits, Challenges & the Next Step

by Paul Dhaliwal | Feb 20, 2026 | Vibe Coding

AI coding has changed how software gets built. With just a few prompts, developers can generate full applications in minutes. This shift, often called vibe coding, has unlocked a new level of speed in software development. Teams can prototype faster, experiment more,...
Best Durable Alternative: AI App Builder for Enterprise Teams

Best Durable Alternative: AI App Builder for Enterprise Teams

by Paul Dhaliwal | Feb 18, 2026 | AI Website Development

Are you building an AI-powered website but feeling constrained by limited customization and basic automation? That’s a common turning point for entrepreneurs using Durable. It’s incredibly fast at generating business websites, but as your ideas grow, so do your...
OpenAI GPT-5.3-Codex-Spark: How Fast Is This AI Coding Model?

OpenAI GPT-5.3-Codex-Spark: How Fast Is This AI Coding Model?

by Paul Dhaliwal | Feb 16, 2026 | AI coding

Are AI coding tools really slow—or are we just using them the wrong way? Over the past year, AI models have become powerful enough to write full features, refactor large codebases, and even run long, agent-driven workflows. But there’s a catch. Most of these systems...
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