docs: pattern purity and codebase evolution analysis
How pure are these codebases? When do they break their own conventions and why? Key finding: purity inversely correlates with size. Ecto has 0 TODOs; CockroachDB has 1,048. Neither is wrong — they're different kinds of systems.
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# Pattern Purity & Evolution: How Codebases Live With Themselves
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No codebase is pure. The interesting question is: HOW
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do they manage impurity? When do they break their own
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conventions, and what does that reveal about real
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engineering versus ideal engineering?
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---
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## CockroachDB: 1,048 TODOs and Counting
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### Convention Adherence (measured)
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**Stopper usage (goroutine lifecycle):**
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- 91 calls via RunAsyncTask/RunTask (old API)
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- 295 via Handle API (new API, still tracked)
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- 3 truly untracked `go func()` calls
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Purity: **99.6%** — and one of those 3 has a literal
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`// TODO(irfansharif): Use a stopper here instead.`
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**Error wrapping:**
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- 194 uses of `errors.Wrap` (cockroachdb/errors library)
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- 13 uses of `fmt.Errorf("%w")` (stdlib pattern)
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- 15 uses of `fmt.Errorf` without wrapping
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The 13 stdlib-style uses are all in `asimview` (a CLI
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tool). The core KV layer uses cockroachdb/errors
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exclusively. **Pattern breaks happen at the periphery,
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not the core.**
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### How New Patterns Are Introduced
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**The Handle pattern replaced RunAsyncTask:**
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- RunAsyncTask: 63 remaining usages
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- Handle (newer): 295 usages
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The newer API coexists with the old. There's no big-bang
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migration. New code uses Handle; old code stays on
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RunAsyncTask until someone touches it. The convention
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evolved *gradually*.
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**Lesson:** CockroachDB never does a codebase-wide
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rewrite. They introduce the new pattern, new code uses
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it, old code migrates opportunistically when touched for
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other reasons.
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### Stale TODOs (Technical Debt That Survived)
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```go
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// TODO(irfansharif): Remove this in 21.2
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// TODO(ajwerner): Remove in 22.2.
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// TODO(nvanbenschoten): remove this entirely in v22.1
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```
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Six TODOs referencing releases from 3+ years ago. These
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are promises that were never kept. The code still works
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— the TODO became dead documentation.
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**Why they survive:** Nobody is breaking anything. The
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old code path works. The TODO is aspirational, not
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critical. In a 2M-line codebase, someone would have to
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care enough to touch this file for another reason.
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**Lesson:** Purity is not binary. CockroachDB is 99.6%
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pure on goroutine tracking but carries years-old dead
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TODOs. They invest enforcement energy where it matters
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(leak detection fails tests) and accept impurity where
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it doesn't (cosmetic cleanup).
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---
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## Prometheus: The Completed Migration
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### Convention Adherence (measured)
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**Logging migration (go-kit/log → slog/promslog):**
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- promslog/slog usages: 373
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- go-kit/log usages: **0**
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They completed a full logging framework migration. Zero
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remnants of the old pattern in production code. Only 3
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references remain in comments explaining the hack for
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klog compatibility.
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**This is rare.** Most codebases abandon migrations
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halfway. Prometheus finished it.
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### How Patterns Coexist During Migration
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**AppenderV2 alongside V1:**
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```go
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type scrapeLoopAppendAdapter interface {
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append(b []byte, contentType string, ts time.Time) (...)
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}
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// Old path
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type scrapeLoopAppender struct { storage.Appender }
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// New path
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type scrapeLoopAppenderV2 struct { storage.AppenderV2 }
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```
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An interface (`scrapeLoopAppendAdapter`) abstracts over
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both. The caller doesn't know which version it's using.
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The selection happens once at construction:
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```go
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if sl.appendableV2 != nil {
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return &scrapeLoopAppenderV2{...}
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}
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return &scrapeLoopAppender{...}
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```
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**Pattern:** When evolving an interface, introduce an
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adapter layer that unifies old and new. The caller
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changes once. The implementations coexist until the old
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one can be removed.
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### Where They Break Conventions
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**Global vars in scrape:**
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```go
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var ScrapeTimestampTolerance = 2 * time.Millisecond
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var AlignScrapeTimestamps = true
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var UserAgent = version.PrometheusUserAgent()
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```
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These are configurable behavior via package-level vars.
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This breaks the "config struct" convention used elsewhere.
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They survive because:
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- They're set once at startup
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- Tests can override them directly
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- Moving them to a config struct would break the API
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**Functional options in leaf packages:**
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```go
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type WriterOption func(*writerOptions)
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func WithUncachedIO(enabled bool) WriterOption { ... }
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```
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The main tsdb config is a struct. But chunk writer
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(added later) uses functional options. The newer code
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adopted a different convention than the older code.
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**Why:** Chunk writer has 2 options. A config struct for
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2 fields is ceremony. Functional options are simpler at
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that scale. The convention adapts to the context.
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---
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## Ecto: Zero TODOs, Maximum Discipline
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### Convention Adherence (measured)
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- TODOs in lib/: **0**
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- FIXMEs: **0**
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- HACKs: **0**
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This is remarkable for a 12-year, 6000-commit codebase.
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Either they never leave TODOs (discipline) or they clean
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them up before merging (process).
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**Adapter abstraction purity:**
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- References to specific adapters (Postgrex, MyXQL) in
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lib/: **1** (in a documentation example)
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- All DB interactions go through the adapter interface
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### How Ecto Introduces New Patterns
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**Schemaless changesets** (later addition):
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- Same module (`Ecto.Changeset`)
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- Same API (`cast/3`, `validate_required/3`)
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- Just works without a schema by passing a types map
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They didn't create `Ecto.SchemalessChangeset`. They made
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the existing API more general. The new pattern is
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invisible — it's the same function with a broader input.
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**Dynamic repos** (later addition):
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- `put_dynamic_repo/1` / `get_dynamic_repo/0`
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- Process dictionary for repo resolution
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- Existing code doesn't need to change
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Again: new capability added without breaking or
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splitting the existing pattern. The extension point was
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designed in from the start (`@default_dynamic_repo`).
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### When Ecto Breaks Its Own Rules
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Ecto's Queryable protocol says "anything can become a
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query." But internally, the planner directly pattern-
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matches on `%Ecto.Query{}` structs:
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```elixir
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%Ecto.Query{from: %Ecto.Query.FromExpr{source: ...}}
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```
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This is pragmatic. The protocol gives consumers
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extensibility. But internally, Ecto knows the concrete
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types and uses them directly for performance.
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**Lesson:** Abstractions are for consumers. Internals
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can cheat when performance or simplicity demands it.
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---
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## Oban: Structural Consistency Across Engines
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### Convention Adherence (measured)
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- TODOs: **0**
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- All Repo access: through `Oban.Repo` (never bypasses)
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- Engine implementations all follow the same callback
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structure
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**Engine size comparison:**
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- Basic: 553 lines
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- Dolphin: 426 lines
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- Lite: 402 lines
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- Inline: 140 lines (testing, deliberately minimal)
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The three production engines are within 30% of each
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other in size. They implement the same callbacks in
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roughly the same way. This is structural consistency.
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### Where The Pattern Stretches
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The Dolphin engine (MySQL) has different query patterns
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than Basic (Postgres) due to MySQL limitations:
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- No `FOR UPDATE SKIP LOCKED`
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- No `LISTEN/NOTIFY`
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- Different JSON handling
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Same interface, different implementation *shape*. The
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engine behaviour forces structural consistency but can't
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force implementational consistency.
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---
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## Cross-Cutting: When and Why Patterns Break
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### Pattern Breaks Have Three Causes:
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**1. Age (gradual drift)**
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- CockroachDB: RunAsyncTask vs Handle
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- Prometheus: Config structs vs functional options in
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newer code
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Old code establishes a pattern. New code (sometimes by
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different authors) uses a different approach. Neither is
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wrong — the codebase evolved.
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**2. Context (different scale/needs)**
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- Prometheus: global vars for 2-3 scrape settings vs
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full config structs for complex subsystems
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- CockroachDB: fmt.Errorf in CLI tools vs errors.Wrap
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in core
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The pattern that's right for the core isn't always right
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for peripheral code. The convention adapts to context.
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**3. Migration (deliberate coexistence)**
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- Prometheus: AppenderV1 + V2 with adapter interface
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- CockroachDB: RunAsyncTask + Handle coexisting
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New pattern introduced but old one isn't removed yet.
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This is intentional — forcing migration on all existing
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code would be high risk for no immediate benefit.
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### The "Purity Spectrum"
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| Codebase | TODOs | Convention breaks | Migration discipline |
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|-------------|-------|-------------------|---------------------|
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| Ecto | 0 | Minimal (internal) | Extremely high |
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| Oban | 0 | Structural only | High |
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| Prometheus | Low | Completed migration| High (once decided) |
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| CockroachDB | 1,048 | Gradual drift | Opportunistic |
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**Insight:** Purity correlates with codebase size
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*inversely*. Ecto (3.8M, 1 maintainer with very high
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standards) is pure. CockroachDB (845M, 700 contributors)
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has 1,048 TODOs. This isn't failure — it's the natural
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state of a large living system.
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### What This Means for Code Review
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1. **Don't enforce purity mechanically.** A pattern break
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might be intentional (different context, migration in
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progress, peripheral code).
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2. **Ask WHY it breaks.** Is this:
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- Gradual drift (worth fixing opportunistically)?
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- Context-appropriate deviation (leave it)?
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- Migration in progress (track completion)?
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3. **Enforce at the boundary.** CockroachDB's leak tests
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are 99.6% effective because they enforce at test-time,
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not code-review-time. Ecto's zero TODOs come from
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merge-time discipline, not review comments.
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4. **New patterns need an adoption path.** Prometheus's
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adapter interface and CockroachDB's gradual migration
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both work. Big-bang rewrites don't.
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5. **Peripheral code doesn't need core conventions.**
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CLI tools can use `fmt.Errorf`. Test helpers can break
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rules. Enforce conventions where they matter (the core
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that carries the system's invariants).
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<!-- PATTERN_COMPLETE -->
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