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What gocondense changes
gocondense is a Go source formatter. It puts eligible multiline constructs on one line when they fit its configured line-length limit, aiming to make source files less vertically spread out while retaining readability. Its documented transformations preserve comments and are idempotent: formatting already formatted code again does not keep changing it.
The documented default limit is 80 columns. A construct that would exceed the configured limit remains multiline. The tool can format files in place, process Go paths recursively, or read source from standard input and write formatted output to standard output; its installation instructions use go install.
The artifact to inspect is the source diff: gocondense changes the layout of .go files. Its project documentation does not describe it as a runtime-performance tool or claim that it performs Go compiler optimizations.
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What Go compiler optimizations change
The compiler works during a build, transforming compiler representations and making choices that affect generated machine code. The Go compiler documentation describes conversion of the compiler’s intermediate representation to SSA, a lower-level representation used to implement optimizations and generate machine code. Among the documented passes and analyses are:
- Inlining: incorporating a suitable function’s work at a call site, subject to compiler rules.
- Dead-code elimination: removing code the compiler determines is unnecessary.
- Devirtualization: resolving some indirect calls to more specific targets.
- Escape analysis: determining whether values need to outlive their current context, which can inform whether they require heap allocation.
These are compiler-selected decisions, not source-formatting changes. The exact decisions depend on the program and toolchain; a particular function or value is not guaranteed to be optimized in a particular way.
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Profile-guided optimization
Go’s profile-guided optimization (PGO) documentation says compiler support began in Go 1.20. PGO uses a profile collected from representative program runs to inform a later build’s optimization decisions. It affects the build made with that profile, not the formatting of the source, and the documentation does not promise a specific speedup.
How the two differ
| Comparison | gocondense | Go compiler optimizations |
|---|---|---|
| Stage | Source formatting, before or separate from compilation | During compilation |
| What changes | Human-readable Go source layout | Compiler representations and decisions that shape generated machine code |
| Purpose | Reduce vertical noise while retaining readable source | Optimize the generated program according to compiler analyses and build inputs |
| Examples | Condensing eligible multiline constructs within the line limit | Inlining, dead-code elimination, devirtualization, escape analysis, and PGO-informed decisions |
| How to examine the effect | Review the source diff | Inspect compiler diagnostics and benchmark a representative workload |
How to see compiler decisions
For the Go compiler toolchain, request optimization diagnostics while building:
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go build -gcflags=-m=2The compiler README documents this flag for printing optimization information, including inlining and escape-analysis details. The Go compiler optimization wiki also recommends -gcflags -m for observing inlining and escape-analysis decisions. These messages report compiler reasoning; they do not by themselves establish that a build runs faster.
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Which should you use?
- Use gocondense if you want a different source layout and its formatting conventions suit your project. Review the resulting diff to confirm the edits are acceptable.
- Look at compiler diagnostics when you want to understand decisions such as inlining or escape analysis.
- Use PGO when you can provide a representative runtime profile and want the compiler to use it for a subsequent build.
- To determine whether a compiler change benefits your application, benchmark a representative workload under controlled conditions. A formatter’s source-layout change is not evidence of a performance improvement.
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