8 articles in Continuous Delivery
Cutting software delivery lead time in half does not require a rewrite, a new platform, or a green-field project. Here is the four-step sequence that takes teams from around twelve days to under eight days on the system they already have.
The demo works. The prototype impresses. Then it hits production and quietly fails — wrong answers at scale, cascading LLM timeouts, no way to know when the prompt regressed. This is not an AI problem. It is an engineering problem with a known solution.
Best practices documents fail because compliance requires humans to consistently remember and apply them. Quality gates work because they remove humans from the enforcement loop entirely.
In most teams, every architecture decision, every risky PR, and every onboarding conversation routes through three or four senior engineers. That is not seniority — it is a single point of failure. Here is how to move that judgment out of their heads and into the workflow.
Most teams say they "do CI/CD" because they have a pipeline that builds, tests, and deploys. That pipeline is automation — Continuous Delivery is a discipline. Here are the practices that turn one into the other.
Median time from PR opened to first review is 22 hours. That is not review effort — it is system latency. Here is what it costs, why it happens, and what elite teams do differently.
The cost arbitrage that made outsourcing attractive has flipped. Three disciplined engineers with AI agents now outship 15-person outsourced teams — at a fraction of the cost, with measurably higher quality.
Most engineering transformations fail not because the team lacks skill, but because they defer improvement to a rewrite that never finishes. Here is how the rewrite trap works, why it compounds, and what to do instead.