Understand what happens between source and running program, so build errors, linking failures, and optimisation surprises become tractable. Use when builds fail obscurely or behaviour differs between debug and release.
Scanned 9/5/2026
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---
name: compilers-and-toolchains
description: Understand what happens between source and running program, so build errors, linking failures, and optimisation surprises become tractable. Use when builds fail obscurely or behaviour differs between debug and release.
---
# Compilers and toolchains
Source becomes a running program through several stages, each with its
own failure modes. Most confusing build problems are a stage boundary:
a preprocessor definition, a missing symbol at link time, or an
optimisation that changed behaviour the code relied on.
## Method
1. **Locate the failing stage first.** Preprocessing, compilation,
linking, and loading fail differently, and the error message names
the stage if you know how to read it.
2. **Understand linking as symbol resolution.** Undefined symbol errors
mean a declaration without a definition; duplicate symbols mean two
definitions. Both are about what the linker can see.
3. **Know what optimisation is permitted to do.** Reordering,
inlining, and eliminating code that has no observable effect, which
is why undefined behaviour produces different results between builds.
4. **Keep debug information even in release builds.** Symbols make
production stack traces readable and cost only disk (see
stack-trace-reading).
5. **Understand static versus dynamic linking.** Static builds are
self-contained and larger; dynamic builds share libraries and can
fail at load time on a different machine.
6. **Make builds reproducible.** Pinned toolchain versions and no
embedded timestamps mean the same source produces the same binary,
which matters for both debugging and supply chain (see
supply-chain-security).
7. **Read the intermediate output when stuck.** Preprocessed source,
assembly, and the symbol table answer questions that guessing about
the compiler cannot.
## Boundaries
Details differ enormously between languages and toolchains. Interpreted
and just-in-time compiled languages have different stages with
analogous problems. Aggressive optimisation exposes undefined behaviour
rather than causing it, so the fix is the code (see c-memory-safety).
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