How to Adopt AI in Your Organization Without Making the Most Common Mistakes
Failure and success patterns in AI adoption, a practical decision framework, safe use cases, and minimum viable governance for development teams.
Software engineering
The Real Cost of AI: From the Democratic Promise to the Enterprise Model
Copilot moves to token billing, JetBrains cuts quotas, Claude raises costs with new tokenizer. Analysis of the economic divide AI is opening in 2026.
CD (Continuous Delivery) — Part 6: Final validations, Manual Approval, and Deploy to Production
Consolidation of all pipeline gates, informed human approval, and progressive deployment to production with Blue/Green or Canary.
CD (Continuous Delivery) — Part 5: LCA — Load, Stress, and Chaos Engineering
Real resilience validation: load tests, stress tests, and chaos engineering to guarantee stability, scalability, and fault tolerance.
CD (Continuous Delivery) — Part 4: Deploy to Staging and Performance Smoke Tests
Pre-production deployment with production parity, E2E and lightweight performance validation, and manual approval before production.
CD (Continuous Delivery) — Part 3: Deploy to Dev and Smoke Tests
Deployment of the verified artifact to the development environment and quick validation with smoke tests to detect obvious failures.
CD (Continuous Delivery) — Part 2: Image Scan and Service Tests
Container image vulnerability scanning and service validation with contract tests, endpoints, and dependency checks.
CD (Continuous Delivery) — Part 1: packaging, SBOM, and remediation
Start of the continuous delivery cycle: Docker packaging, SBOM generation, image signing, and the concept of remediation.
CI (Continuous Integration): analysis, tests, quality, and security
The stages of continuous integration: linting, build, static analysis, tests, coverage, quality gate and security scan, with the role of AI in each one.
Pre-CI: General CI/CD Pipeline Architecture and Pre-checks
The complete CI/CD pipeline and the checks that run before CI: fast static analysis, linting, formatting, conventions, contracts and AI review.
CI/CD: Branching, Git Flow, and Pull Requests
Branching strategies, GitFlow models, the modern AI-assisted developer workflow, and the complete Pull Request process in professional CI/CD environments.
CI/CD: Core Concepts — pipeline, job, stage, step, and gates
The building blocks of any CI/CD pipeline: pipelines, gates, jobs, stages and steps, and what they are called in GitHub Actions, GitLab CI and Jenkins.