A decision framework for rewriting vs refactoring: the second system effect, incremental migration strategies, the strangler fig pattern, and real examples of successes and failures.
A practical guide to software estimation: story points, t-shirt sizing, three-point estimation, reference class forecasting, and the most common estimation anti-patterns.
comma.ai invested $5M in their own infrastructure and saved over $20M vs AWS. We analyze the real numbers, break-even point, and when building your own datacenter for ML makes sense.
GitHub Actions has serious problems: unreliable logs, complex YAML, security risks, and slow runners. We analyze real alternatives in 2026: GitLab CI, Buildkite, CircleCI, and Dagger, with migration data and cost analysis.
A decision guide for choosing between microservices and monolith: when each approach makes sense, migration patterns, team size implications, and the modular monolith alternative.
Complete guide to technical debt: what it really is, how it accumulates, how to measure it, and practical strategies to manage it without rewriting everything from scratch.