Introduction to Continuous Integration (CI)
What CI means
Continuous Integration is the practice of:
- merging changes frequently
- automatically running checks on every change
Typical checks:
- unit tests
- linting
- type checks
- security scans
Why CI matters
CI prevents:
- “works on my machine”
- long-lived branches
- late discovery of integration issues
Diagram: CI feedback loop
graph LR
A[Commit / PR] --> B[CI pipeline]
B --> C{Checks pass?}
C -- Yes --> D[Merge]
C -- No --> E[Fix + push]
E --> B
Good CI characteristics
- fast (minutes, not hours)
- deterministic
- provides clear failure messages
- runs on PRs before merge
Visualize it
A typical CI pipeline runs a chain of automated checks after every push, and only deploys once all of them pass.
flowchart LR A["git push"] --> B["CI triggers"] B --> C["Install deps"] C --> D["Run linters"] D --> E["Run tests"] E --> F["Build"] F --> G["Deploy (if all pass)"]
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