The Meta Repository Pattern: One Folder to Rule Them All
Today
How I organize 10-20 repositories per company into a single meta folder, giving both humans and AI a bird's eye view of the entire business.
Today
How I organize 10-20 repositories per company into a single meta folder, giving both humans and AI a bird's eye view of the entire business.
Today
For every company I work with, the first thing I build is a central knowledge base that becomes the DNA of the business. LLMs finally make this possible.
5 days ago
How I built a webhook-based integration that makes GitHub and Monday.com work as a single system. Developers commit code, and task statuses update automatically through the entire deployment pipeline.
3 weeks ago
How I manage Google Workspace users, distribution lists, and email aliases entirely through Terraform - no admin console clicking required.
3 weeks ago
A technical deep-dive into the workflow where specifications drive code generation, marketing content, and help documentation from a single source.
3 weeks ago
The difference between vibe coding and structured AI-assisted development. How I use specs to guide AI through iterative, validated steps - not generate everything in one shot.
3 weeks ago
How to migrate production workloads from AWS to Azure incrementally, using staging as a production rehearsal and maintaining zero downtime throughout.
3 weeks ago
Why I wrote a Python CLI to manage Sentry configuration instead of clicking through the UI - alerts, filters, data scrubbing, all defined in YAML.
2 months ago
Society is going into the technology, and what I see around me becomes more and more complex than what the human brain can understand
4 months ago
After years of deploying production infrastructure across AWS, Azure, and Google Cloud for 10+ startups, I'm launching OneOps.cloud to bring enterprise-grade DevOps to every early-stage company.
6 months ago
How modern AI tools transformed my production deployment philosophy from careful quarterly releases to daily shipping with confidence
11 months ago
For the first time, machines can truly understand human language—not through brute force transcription, but because AI predicts what I'm going to say. This changes everything about how I interact with technology.