Anti-Pattern Atlas

Page Maps

graph LR
  family["Python Programming"]
  program["Python Object-Oriented Programming"]
  section["Reference"]
  page["Anti-Pattern Atlas"]
  capstone["Capstone evidence"]

  family --> program --> section --> page
  page -.applies in.-> capstone

flowchart LR
  orient["Orient on the page map"] --> read["Read the main claim and examples"]
  read --> inspect["Inspect the related code, proof, or capstone surface"]
  inspect --> verify["Run or review the verification path"]
  verify --> apply["Apply the idea back to the module and capstone"]

Read the first diagram as a lookup map: this page is part of the review shelf, not a first-read narrative. Read the second diagram as the reference rhythm: arrive with a concrete ambiguity, compare the current work against the boundary on the page, then turn that comparison into a decision.

Use this page when a codebase feels “object-oriented” but hard to trust. These are the failure shapes the course is trying to prevent, grouped by the module that best repairs them.

Semantic failures

Anti-pattern	Why it hurts	Repair module
bag-of-fields class	it uses class syntax without a real contract for identity or behavior	Module 01
mutable value used as key	containers silently become unsafe	Module 01
accidental shared state	aliasing and shallow copies create non-local mutation	Module 01
inheritance for convenience reuse	subclasses inherit obligations they do not want	Module 02
primitive obsession	domain meaning leaks into raw strings, ints, and booleans	Module 02
partial object construction	callers must remember invisible lifecycle rules	Module 03

Systems failures

Anti-pattern	Why it hurts	Repair module
god service	orchestration absorbs domain policy, storage, and runtime logic	Module 02
orphan invariant	no aggregate root clearly owns a cross-object rule	Module 04
event theater	events are emitted, but no one can say what remains authoritative	Module 04
cleanup lottery	resource release depends on callers remembering hidden rules	Module 05
retry roulette	side effects are repeated without idempotency or compensation design	Module 05
table-shaped domain	persistence records replace domain contracts	Module 06
hidden session magic	identity maps, lazy loads, or writes happen outside clear boundaries	Module 06
concurrency by hope	multiple workers mutate shared state without owned boundaries	Module 07

Trust failures

Anti-pattern	Why it hurts	Repair module
assertion theater	tests repeat implementation details instead of defending contracts	Module 08
public surface drift	internal modules quietly become external obligations	Module 09
plugin free-for-all	extension points widen faster than the maintainer can govern	Module 09
observability by logging everything	telemetry cost rises while meaning stays vague	Module 10
unsafe convenience serialization	secret or hostile data crosses trust boundaries casually	Module 10

How to use the atlas

• Start from the smell you can name, not the pattern you hope to apply.
• Follow the repair module and re-read its overview before diving into one chapter.
• Use the atlas during code review when “this feels wrong” is still too vague.

First repair move by failure family

If the failure looks like...	First repair move	First capstone surface
a semantic contract is fuzzy	reopen the earliest module that defines the object role or lifecycle	model.py and the lifecycle-oriented tests
collaboration or runtime pressure is swallowing ownership	reopen the matching systems module before changing code	ARCHITECTURE.md, runtime.py, or repository.py
trust, public surface, or operations feel performative	reopen the matching trust module before asking for stronger proof	TEST_GUIDE.md, PACKAGE_GUIDE.md, or PROOF_GUIDE.md

When two smells seem true at once

• start with the earlier repair module, because later failures often inherit earlier ownership mistakes
• prefer the smell that changes who is authoritative over the smell that only changes tooling or visibility
• use the capstone surface named by the repair module to decide which smell is actually driving the damage

Good signs after the repair

• You can name the owner of the rule that used to be scattered.
• You can explain which boundary is authoritative and which are derived.
• You can add or remove behavior with smaller blast radius than before.
• You can point to one proof surface that would fail first if the anti-pattern returned.

An atlas like this keeps the course honest. It shows more than clean examples; it also helps you recognize and repair the clumsy code people actually inherit.