| name | parent-no-raw-loops |
| description | Write C++ code following Sean Parent's "No Raw Loops" philosophy. Emphasizes algorithm-based thinking, composition over iteration, and treating code as mathematical reasoning. Use when refactoring or writing new C++ to maximize clarity and correctness. |
| tags | algorithms, data-structures, value-semantics, no-raw-loops, stl, generic-programming, clean-code |
Sean Parent Style Guide
Overview
Sean Parent, former Principal Scientist at Adobe, transformed how many think about C++ with his "C++ Seasoning" and "Better Code" talks. His central thesis: raw loops are assembly language for algorithms. If you're writing a loop, you're probably missing an algorithm.
Core Philosophy
"No raw loops."
"A goal of software engineering is to reduce code to its essence, to remove anything that doesn't contribute to the meaning."
Parent believes that code should be a direct expression of intent, and loops obscure intent by exposing mechanism.
Design Principles
-
No Raw Loops: Every loop is a missed opportunity to use (or create) a named algorithm.
-
Algorithms Express Intent: std::find_if says "search"; a for-loop says "increment and compare."
-
Composition Over Iteration: Build complex operations from simple, well-named pieces.
-
Seek the Essence: Remove everything that doesn't contribute to meaning.
When Writing Code
Always
- Use standard algorithms when they fit exactly
- Create named algorithms when standard ones don't fit
- Prefer algorithms that express the operation's semantic meaning
- Use range-based operations (C++20 ranges when available)
- Compose simple operations rather than write complex loops
- Name intermediate variables to document intent
Never
- Write raw
for loops when an algorithm exists
- Nest loops when composition would work
- Inline complex logic that deserves a name
- Sacrifice clarity for cleverness
- Leave unnamed concepts in code
Prefer
std::transform over element-by-element loops
std::accumulate over manual aggregation
std::partition over manual reordering
std::remove_if + erase over manual deletion
- Algorithm pipelines over nested loops
The Algorithm Catalog
Existence Queries
| Need | Algorithm |
|---|
| Does any element satisfy P? | std::any_of |
| Do all elements satisfy P? | std::all_of |
| Does no element satisfy P? | std::none_of |
| How many satisfy P? | std::count_if |
Finding
| Need | Algorithm |
|---|
| Find first matching P | std::find_if |
| Find first mismatch | std::mismatch |
| Find subsequence | std::search |
| Binary search | std::lower_bound, std::upper_bound |
Transforming
| Need | Algorithm |
|---|
| Apply f to each element | std::transform |
| Fill with value | std::fill |
| Generate values | std::generate |
| Copy with filter | std::copy_if |
Reordering
| Need | Algorithm |
|---|
| Sort | std::sort, std::stable_sort |
| Partition by P | std::partition, std::stable_partition |
| Rotate | std::rotate |
| Remove matching P | std::remove_if |
Code Patterns
Before and After: The Transformation
std::vector<int> result;
for (const auto& item : items) {
if (item.isValid()) {
result.push_back(item.getValue() * 2);
}
}
auto result = items
| std::views::filter(&Item::isValid)
| std::views::transform([](const Item& i) { return i.getValue() * 2; })
| std::ranges::to<std::vector>();
std::vector<int> result;
std::transform(
items.begin(), items.end(),
std::back_inserter(result),
[](const Item& i) -> std::optional<int> {
return i.isValid() ? std::optional{i.getValue() * 2} : std::nullopt;
}
);
The Erase-Remove Idiom
for (auto it = vec.begin(); it != vec.end(); ) {
if (shouldRemove(*it)) {
it = vec.erase(it);
} else {
++it;
}
}
vec.erase(
std::remove_if(vec.begin(), vec.end(), shouldRemove),
vec.end()
);
std::erase_if(vec, shouldRemove);
Slide Algorithm (Parent's Signature)
template<typename I>
auto slide(I first, I last, I pos) -> std::pair<I, I> {
if (pos < first) return { pos, std::rotate(pos, first, last) };
if (last < pos) return { std::rotate(first, last, pos), pos };
return { first, last };
}
auto [new_first, new_last] = slide(
selection_begin, selection_end,
drop_position
);
Gather Algorithm
template<typename I, typename P>
auto gather(I first, I last, I pos, P pred) -> std::pair<I, I> {
return {
std::stable_partition(first, pos, std::not_fn(pred)),
std::stable_partition(pos, last, pred)
};
}
auto [sel_first, sel_last] = gather(
items.begin(), items.end(),
cursor_position,
[](const Item& i) { return i.selected; }
);
Mental Model
Parent thinks of code as mathematical composition:
- Name the operation: What am I really doing?
- Find the algorithm: Does this operation have a name?
- Compose primitives: Can I build this from smaller operations?
- Factor out patterns: Is this useful elsewhere?
The Refactoring Test
When you see a loop, ask:
- Is this searching? →
find, search, any_of...
- Is this transforming? →
transform, copy_if...
- Is this reordering? →
sort, partition, rotate...
- Is this aggregating? →
accumulate, reduce...
- Is this comparing? →
equal, mismatch...
If none fit exactly, write and name a new algorithm.