Can you really trust AI to write production-ready code? We tested Claude Code across 100 executions in five progressively complex scenarios to measure not just capability, but consistency. The results were clear: clean codebases and clear guidance dramatically improve reliability, while messy environments significantly reduce success rates. AI doesn’t eliminate the need for discipline—it amplifies whatever standards already exist. Clean patterns produce clean output. Chaos produces chaos.

• #ai-code-generation
• #claude-code
• #developer-tools
• #code-quality
• #software-engineering
• #ai-reliability
• #automated-testing
• #devops
• #code-review
• #developer-experience

Deploying constantly doesn’t mean chaos. With small changes, tests, and a production mirror, releases stay safe and predictable.

• #continuous-deployment
• #continuous-delivery
• #ci-cd
• #devops
• #software-delivery
• #engineering-culture
• #small-batch-deployments
• #trunk-based-development
• #feature-flags
• #dark-launch
• #incremental-delivery
• #deployment-strategy
• #automated-testing
• #unit-tests
• #integration-tests
• #e2e-testing
• #test-driven-quality
• #production-safety
• #ci-pipeline
• #cd-pipeline
• #staging-environment

by César Felipe about 1 month ago

Many teams say “CI/CD” but only test inside each repo. In this article, we show how separating CI from CD and adding a dedicated, cross-repo E2E test suite as a release gate helps catch ecosystem issues before production. By centralizing Playwright tests in their own repository and running them on staging, engineers own availability end-to-end and ship with more confidence.

• #ci/cd
• #continuous integration
• #continuous delivery
• #continuous deployment
• #end-to-end tests
• #e2e testing
• #distributed testing
• #staging environment
• #github actions
• #repository_dispatch
• #playwright
• #test automation
• #quality engineering
• #devops
• #software reliability
• #availability
• #infrastructure as code
• #iac
• #cognito
• #engineering culture

by César Felipe 3 months ago

Open-source models have evolved from an ideological statement into a strategic advantage. They offer control, transparency, and flexibility that closed APIs simply can’t match. In an era where AI powers the core of many businesses, the real question isn’t which model performs best today, but which approach lets you build on your own terms.

• #AI
• #Open Source
• #Open Source Models
• #Open Weights
• #AI Infrastructure
• #AI Strategy
• #Closed Models
• #Self Hosted AI
• #AI Privacy
• #Data Sovereignty

by César Felipe 3 months ago

Hello there, welcome back! This is the third part of the AWS for Non-Engineers series; In this post, I’ll introduce you to the concept of Cloud Networking and its features.

• #softwaredevelopment
• #AWS

by César Felipe 12 months ago