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# Development
This is the contributor entry point for thsi application. Use the task-specific
reading guide below before making changes. Canonical architecture, contracts,
component behavior, and policies remain in their owning documents.
## Initial Orientation
Before starting work:
1. inspect the working tree and preserve unrelated changes;
2. read the architecture policy for code or design work;
3. read the policy, contract, and internal documents listed for the task;
4. inspect the relevant implementation and tests before deciding how to change
them.
Start with:
- [Architecture policy](policy/architecture.md) for system boundaries,
invariants, and non-goals;
- [Internal component overview](internal/overview.md) for the current package
and component map;
- [Documentation policy](policy/documentation.md) before changing
documentation;
- [Testing policy](policy/testing.md) before adding, rewriting, or deleting
tests.
## Task-Specific Reading Guide
| Task | Read before changing |
| --- | --- |
| Repository orientation or component responsibility | [Internal component overview](internal/overview.md) and [architecture policy](policy/architecture.md) |
| Examples or copyable assets | The owning contract for the demonstrated behavior and the related files under `examples/` |
| Architecture decisions or future work | The [documentation policy](policy/documentation.md) and relevant accepted ADRs |
For cross-cutting changes, follow every applicable row. Internal component
documents own detailed subsystem change recipes.
## Baseline Validation
Use focused checks while iterating, then run validation proportionate to the
change and the risks described by the testing policy.
The repository-level baseline for code changes is:
```bash
go test ./...
go vet ./...
go build ./cmd/scriptorium
```
Documentation-only work does not require the full Go suite unless it changes
commands, examples, generated output, or another behavior that the suite
validates. Always check changed links, paths, examples, and canonical ownership.

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# Internal Component Overview
## Purpose
This is the inventory of this application's implemented components for contributors.
The [architecture policy](../policy/architecture.md) owns normative boundaries
and invariants; public behavior belongs in the linked contracts.
TODO: Add tables below, using the following format:
| Component | Implemented responsibility | References |
| --- | --- | --- |
| | | |

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# Architecture
This document defines the intended high-level architecture of this application and the
invariants that changes must preserve. Implemented component details belong in
[Internal Overview](../internal/overview.md) and its linked documents. The
reasoning behind significant architectural choices belongs in
[ADRs](../adr/).
## System Shape
This application is a small, dependency-light Go application for ...
TODO: Complete this document.

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# Documentation Policy
## Purpose
This policy assigns each documentation topic to one canonical owner. Its goal is
to keep this application's documentation accurate, concise, discoverable, and resistant
to drift for users, operators, developers, integrators, and LLM coding agents.
## Core Rules
### One Canonical Owner
Each authoritative fact belongs in one document. A non-owning document may give
a short, stable summary for orientation, but it must link to the canonical owner
instead of repeating volatile details.
Volatile details include commands, flags, configuration fields and defaults,
module keys, schemas, file names, paths, status codes, retry behavior, and
runtime guarantees. If readers could reasonably treat a statement as a
contract, maintain it only in the owning document.
### Current And Future Behavior
Outside `docs/roadmap/`, documentation describes implemented behavior only.
Partial features may be described only to their implemented boundary.
ADRs are the narrow exception: an ADR may record an accepted architectural
decision before implementation, but acceptance must not be presented as proof
that the behavior exists. The roadmap owns implementation status and sequencing
until the decision is implemented. Current architecture, user, operator,
integration, and internal documentation are updated when the behavior lands.
### Audience And Detail
Write for the document's stated audience and include only the detail needed for
its owned topic. User and operator docs should not expose implementation detail.
Developer docs should link to user-facing and external contracts rather than
restate them.
### Examples
Complete copyable files belong in `examples/`. Documentation may use the
smallest illustrative snippet needed to explain its owned topic, but should link
to maintained examples instead of embedding a second complete copy.
Examples must be valid, secret-free, and tested where practical. Commands and
configuration used in documentation should match the application.
### Security And Privacy
Documentation and examples must not contain real credentials, private keys,
private environment dumps, sensitive source material, or private infrastructure
details unless intentionally public. Document secret-handling mechanisms, not
secret values.
## Canonical Ownership
| Topic | Canonical owner | Owned content | Content owned elsewhere |
| --- | --- | --- | --- |
| Product orientation and minimal end-to-end quickstart | `README.md` | What this application is, why it is useful, one shortest successful invocation, and links onward. | Complete command reference, configuration reference, operational procedures, implementation detail. |
| Contributor entry point | `docs/development.md` | Task-oriented reading guide, minimal contributor orientation, baseline validation commands, and links to canonical docs. | Package inventory, architecture rules, subsystem behavior, detailed change recipes. |
| Current application architecture | `docs/policy/architecture.md` | System shape, normative ownership, dependency direction, architectural boundaries, invariants, safety properties, and non-goals. | Concrete package inventory, implementation mechanics, contributor procedures, decision history, future work. |
| Documentation organization | `docs/policy/documentation.md` | Documentation ownership, audience boundaries, maintenance rules, and ADR/document lifecycle. | Application architecture or product behavior. |
| Testing policy | `docs/policy/testing.md` | Test philosophy, risk-based sufficiency, test boundaries, doubles, coverage guidance, regression-test policy, and criteria for adding, rewriting, or deleting tests. | Subsystem behavior, application contracts, subsystem-specific test inventories, and implementation plans. |
| CLI contract | `docs/cli.md` | Commands, arguments, flags, invocation semantics, and exit codes. | End-to-end operating procedures, configuration field definitions, runtime filesystem layout, module implementation details. |
| Configuration contract | `docs/config.md` | Discovery and precedence, file schema, fields, defaults, environment overrides, validation rules, and user-selectable module or validator keys. | Complete example files, CLI syntax, runtime state lifecycle, module implementation details. |
| Operations | `docs/operations.md` | Runtime workflows, physical filesystem and state layout, output, cache, and debug handling, resume, cleanup, permissions, recovery, and operational limits. | CLI flag syntax, configuration field definitions, logical output schemas, implementation mechanics. |
| Public HTTP contract, if introduced | `docs/api.md` | Routes, authentication, media types, request and response schemas, status codes, pagination, caching, idempotency, rate limits, and HTTP retry semantics. | Client walkthroughs, upstream or downstream integration internals, implementation detail. |
| Consumer guidance, if a public package or API is introduced | `docs/consumers/` | Task-oriented use of the public interface, minimal client examples, and consumer responsibilities. | HTTP wire semantics, external protocol contracts, internal implementation detail. |
| External and durable integration contracts | `docs/integrations/` | External file formats and protocols, upstream and downstream contracts, logical output bundle paths and schemas, media types, and compatibility behavior. | Physical runtime placement and lifecycle, internal transformations, CLI syntax, configuration defaults. |
| Implemented component inventory | `docs/internal/overview.md` | Current packages and components, their implemented responsibilities, and links to focused internal docs. | Normative architecture, contributor reading policy, external contracts. |
| Internal component behavior | Other files under `docs/internal/` | Implementation flow, internal collaborators and state transitions, package-local guarantees and failures, and relevant tests. | Global architecture invariants, configuration definitions and defaults, external schemas, operator procedures. |
| Architectural decision history | `docs/adr/` | Significant decisions, context, alternatives, rationale, consequences, and supersession history. | Current behavior reference, implementation status, task sequencing. |
| Future work and implementation status | `docs/roadmap/` | Proposed, accepted, deferred, or rejected work; implementation status; sequencing; and task breakdowns. | Implemented behavior reference and architectural decision rationale. |
| Complete copyable artifacts | `examples/` | Maintained configuration, inputs, and other files intended to be copied or run. | Field-by-field reference, command reference, prose explanation. |
Documents that do not exist are required only when the corresponding interface
or responsibility exists. Do not create placeholder API, consumer, integration,
or operations documents for behavior the application does not have.
## Boundary Rules
### Orientation
The README owns product orientation. The developer guide routes contributors.
Architecture owns normative structure. Internal overview owns the current
concrete component map. These documents may link to one another but should not
maintain parallel package or behavior descriptions.
### Commands, Configuration, And Operations
CLI documentation answers how to invoke the application. Configuration
documentation answers what settings mean. Operations answers what happens to
runtime state and how to operate or recover the application. When a workflow
crosses these topics, choose the document that owns the task and link to the
other contracts.
### Contracts And Implementation
Integration and API documents define externally observable shapes and
semantics. Internal documents explain how thos application implements or consumes those
contracts. Internal docs may name a field, file, or protocol to identify a
dependency, but must link to its canonical contract for the definition.
### Security Topics
This policy owns what documentation and examples may contain. Architecture owns
application security invariants. Configuration owns credential-supply
mechanisms. Operations owns permissions and handling of sensitive runtime
artifacts. Internal docs own implementation mechanisms only.
## Architecture Decision Records
Use sequentially numbered ADR filenames such as
`0001-record-architecture-decisions.md`. Follow the lightweight Nygard format:
1. title;
2. status;
3. date;
4. context;
5. decision;
6. alternatives considered;
7. consequences.
Treat the decision content of an accepted ADR as immutable. When a decision
changes, create a new ADR and update the earlier ADR's status to superseded.
Rejected architectural alternatives belong in the ADR; rejected product ideas
belong in the roadmap.
## Maintenance
When behavior changes, update its canonical owner in the same change. If
ownership moves, remove the old definition and replace it with a link where
navigation remains useful.
Before completing documentation work:
- verify affected behavior and examples;
- check commands, flags, fields, defaults, schemas, and paths against their
implementation;
- keep unimplemented behavior in the roadmap, subject to the ADR exception;
- remove stale references and validate links;
- confirm that non-owning documents summarize and link rather than redefine;
- confirm that no secrets or sensitive private data were added.

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# Testing Policy
## Purpose
Our tests exist to make **incorrect changes expensive and correct changes cheap**.
We do not optimize for test count, line coverage, exhaustive isolation, or the fewest possible tests. We optimize for sufficient confidence in important behavior while imposing as little unnecessary friction as possible on future development.
## Every test has a cost
Testing is not an unqualified good. Every test imposes both an immediate cost and a continuing lifetime cost.
A test must be:
- written and reviewed;
- understood by future maintainers and coding agents;
- executed in local and CI workflows;
- diagnosed when it fails;
- updated when legitimate behavior changes;
- maintained as fixtures, APIs, and dependencies evolve; and
- removed or rewritten when it becomes redundant, brittle, misleading, or obsolete.
Tests also create cognitive and architectural friction. They can constrain refactoring, duplicate policy, slow feedback loops, add noise to failures, and cause harmless implementation changes to require unrelated edits across the suite.
A test is warranted only when the confidence it provides justifies these costs.
Apply this cost-benefit analysis at two levels:
1. **Per test:** What realistic defect does this test detect, how consequential would that defect be, and is that protection worth the test's lifetime cost?
2. **Across the suite:** Does this collection provide materially more confidence than a smaller, simpler suite would?
The preferred test suite is a **lean suite that provides sufficient confidence in the risks that matter, without redundant or low-value tests**. We seek sufficient confidence with the least unnecessary testing friction, not the fewest possible tests.
Some friction is intentional. Tests should make dangerous changes—such as breaking compatibility, corrupting data, violating security boundaries, or reintroducing subtle bugs—require deliberate review. They should not make ordinary internal changes needlessly expensive.
The cost of a test is not a reason to omit testing by default. Do not cite maintenance cost abstractly. When omitting a plausible test, be able to state why the protected failure is low-risk, already covered, obvious, reversible, or cheaper to detect elsewhere. For consequential, subtle, or difficult-to-observe behavior, the presumption should favor testing.
## Default testing style
Use a **classical/Detroit-style** approach:
- Test observable behavior, resulting state, contracts, and invariants.
- Use real internal collaborators when they are fast and deterministic.
- Use fakes, stubs, or mocks primarily at expensive, nondeterministic, destructive, or external boundaries.
- Prefer package-level behavioral tests over tests coupled to private helpers or internal call sequences.
- Treat exact collaborator interactions as testable behavior only when the interaction itself is a requirement.
Examples of appropriate seams include clocks, randomness, subprocesses, remote APIs, object storage, email, and paid LLM calls.
## Test execution requirements
Tests in the default suite must be deterministic, offline, and independent of real credentials. They must not invoke paid APIs or depend on mutable external services. Tests that require live infrastructure must be explicitly opt-in and clearly separated from the default suite.
Control clocks, randomness, environment variables, and other process-global or machine-specific state when they affect behavior. Tests should be safe to run repeatedly and alongside other tests without depending on execution order or state left by an earlier test.
## What deserves tests
Prioritize tests for:
1. Public and package-level contracts.
2. Domain rules and important invariants.
3. Boundary conditions and malformed input.
4. Failure handling, cancellation, retries, recovery, and partial success.
5. Serialization, schemas, compatibility, and round trips.
6. Previously observed or plausible regressions.
7. Representative integration and end-to-end workflows.
A package-level contract is behavior relied upon by another package or major collaborator, not every observable detail of a package implementation.
For behavior involving **data integrity, destructive operations, compatibility, security, concurrency, idempotency, or recovery**, presume that durable tests are required unless the behavior is already credibly protected at another layer.
Do not add tests merely because a function, branch, or line exists. Do not add a test when the same meaningful risk is already adequately protected elsewhere.
## Choose the right test boundary
Test through the narrowest stable boundary that expresses the behavior clearly.
This is often the package API, but it may instead be:
- a smaller pure function when dense domain logic is most clearly isolated there;
- a package-level operation when several internal collaborators jointly produce the behavior; or
- a larger integration boundary when correctness emerges from interaction with a real dependency.
Do not force all behavior through oversized end-to-end tests. Do not test every private helper merely because it exists. Choose the boundary that gives durable confidence with the least incidental coupling.
## Test behavior, not implementation
A test should protect a decision, contract, or invariant—not memorialize the current implementation.
Before adding or retaining a test, ask:
> What realistic defect would this test catch?
A test is suspect when its main purpose is to detect that someone:
- changed an internal constant;
- renamed or split a private helper;
- reordered equivalent internal operations;
- changed incidental formatting;
- replaced one correct algorithm with another; or
- refactored internal object structure without changing behavior.
Refactoring should normally require no test edits unless the refactored structure is itself part of the contract.
A test can be factually correct and still have negative value. Accurately describing current behavior is not enough; the protected behavior must be important enough to justify the future friction.
## Expected effects of different changes
Use the following expectations when evaluating test failures and test maintenance:
| Change | Expected effect on tests |
|---|---|
| Internal refactor that preserves behavior | Existing tests should normally remain unchanged and continue to pass. |
| Change to an internal default with no contractual significance | Behavioral tests should normally remain unchanged; tests should derive expectations from configuration or relationships rather than duplicate the old value. |
| Intentional change to public behavior, policy, schema, or compatibility guarantees | The relevant tests should be reviewed and changed deliberately. |
| Accidental violation of a contract or invariant | Tests should fail; fix the production code rather than rewriting the tests to accept the defect. |
A test failing is not the same as a test needing to be edited. Many tests may correctly fail because of one production defect. The maintenance smell is a correct internal change that requires unrelated expectation updates throughout the suite.
## Separate mechanism from policy
Configurable thresholds and defaults must not be duplicated throughout the test suite.
For example, do not encode an internal concurrency limit indirectly:
```go
// Production policy:
const maxConcurrency = 4
// Brittle test:
err := startProcesses(5)
require.Error(t, err)
```
Instead, test the mechanism relationally:
```go
const limit = 2
runner := NewRunner(limit)
require.NoError(t, runner.Start(limit))
require.ErrorIs(t, runner.Start(limit+1), ErrTooMuchConcurrency)
```
The test should prove:
- the configured limit is accepted; and
- one beyond the configured limit is rejected.
The production default should be tested exactly only when its literal value is itself a public, operational, safety, protocol, or compatibility requirement.
Apply the same rule to limits, timeouts, capacities, retry counts, and ranges: test relationships and behavior, not duplicated literals.
For concurrency limits, test both kinds of behavior when relevant:
1. **Configuration enforcement:** invalid or excessive requested values are handled correctly.
2. **Runtime enforcement:** observed peak concurrency never exceeds the configured limit.
Use a test-controlled limit and measure the behavior relative to that limit. Do not merely assert today's default value.
## Avoid semantic duplication across layers
Each behavior should have a clear test owner.
- Parser tests own parsing cases.
- Validator tests own validation rules.
- Domain tests own transformations and invariants.
- Adapter tests own external integration behavior.
- Orchestrator tests own coordination and failure propagation.
- CLI tests own argument and configuration mapping.
- End-to-end tests prove that representative assembled workflows work.
Higher-level tests should not repeat every lower-level case. A single intentional policy change should not require unrelated edits across many test files.
Tests that are individually reasonable may still be collectively redundant. Evaluate the marginal value of each additional test in light of the protection already provided by the rest of the suite.
## Use test doubles deliberately
Choose the least elaborate test double that provides the required control or observation.
As a default:
1. Prefer real collaborators when they are fast and deterministic.
2. Use small in-memory fakes when realistic stateful behavior is helpful.
3. Use stubs when a dependency only needs to provide controlled responses.
4. Use mocks when the interaction itself is contractual.
Mocks are appropriate when the contract includes facts such as:
- a notification is sent exactly once;
- a transaction is committed only after successful writes;
- cancellation reaches a subprocess;
- an expensive API is called no more than once; or
- a security audit event is emitted.
Do not use mocks merely to isolate every object or reproduce the implementation's call graph.
## Go-specific guidance
Use:
- table-driven tests for meaningful behavioral categories and boundaries;
- `t.TempDir()` for real filesystem behavior;
- `httptest.Server` for realistic HTTP interactions;
- fuzz tests for parsers, normalization, path handling, and broad input spaces;
- golden files only when the complete output is intentionally stable;
- integration tests where correctness depends on component interaction; and
- a small number of representative end-to-end tests.
Avoid exact error-string assertions unless the wording is itself contractual. Prefer `errors.Is`, `errors.As`, typed errors, or structured error fields.
At CLI boundaries, prefer exit classifications, structured output, and the smallest stable semantic fragment needed to identify the error. Do not snapshot complete diagnostic wording unless it is contractual.
Golden-file updates must require an explicit local flag. CI must not update golden files automatically, and reviewers must inspect the semantic diff before accepting an update.
Keep tests readable and direct. Test helpers and fixture frameworks must earn their own maintenance cost; do not build elaborate test infrastructure for small or isolated needs.
## Coverage
Coverage is a diagnostic, not a target.
Use it to find untested critical branches and unexpectedly weak packages. Do not write low-value tests solely to increase a percentage, and do not infer test quality from coverage alone.
Pure domain logic will often warrant higher coverage than CLI wiring or external adapters. Uneven coverage is acceptable when it reflects risk.
Increasing coverage is valuable only when the newly covered behavior protects a meaningful risk at an acceptable cost.
## Regression tests
A bug fix should normally include a regression test that fails before the fix and passes afterward.
Retain the test when the defect could realistically recur and its consequences justify the ongoing cost. Prefer the narrowest durable test of the violated contract or invariant; do not preserve accidental implementation details from the original bug.
Not every historical bug requires a permanent test. If the underlying design has made recurrence impossible, the test has become redundant, or a stronger invariant test now subsumes it, remove or consolidate it.
## Deleting or rewriting tests
Tests are maintained code, not permanent historical artifacts.
Delete or rewrite a test when its maintenance cost exceeds the confidence it provides.
Strong candidates include tests that:
- require updates after harmless internal changes;
- directly assert private constants without protecting a real contract;
- duplicate the same policy across several layers;
- verify mock choreography rather than outcomes;
- snapshot large amounts of incidental output;
- test trivial private helpers already exercised through stable package behavior;
- protect risks already covered more effectively elsewhere;
- are flaky, misleading, obsolete, or disproportionately expensive to diagnose; or
- no longer correspond to a plausible failure mode.
Several brittle tests may encode one genuine requirement. Replace them with one durable behavior-level or invariant test rather than preserving all of them.
Deleting a low-value test can improve the quality of the suite by reducing noise, maintenance burden, and friction around legitimate change.
## Reviewing a proposed test
Use the following questions when the value, boundary, or durability of a proposed test is not self-evident. Significant test additions should be reviewable against them, but written answers are not required for every routine test.
1. What realistic defect would it catch?
2. How likely is that defect?
3. How consequential would it be?
4. Is the behavior already protected elsewhere?
5. At which layer should this behavior be owned?
6. Does the test assert a durable contract or an incidental implementation detail?
7. Could the implementation be refactored without changing the behavior and without editing this test?
8. What should cause this test to fail?
9. What legitimate changes should not cause this test to fail?
10. What ongoing maintenance, execution, and diagnostic cost will the test impose?
11. Is there a smaller or more direct test that protects the same risk?
Do not add the test when its expected lifetime cost exceeds its expected protective value.
When deciding not to test plausible behavior, record or be able to explain why the risk is low, already protected, obvious, reversible, or cheaper to detect elsewhere.
## Definition of sufficient
A test suite is sufficient when:
- important contracts and invariants are protected;
- meaningful boundaries and failure modes are exercised;
- realistic and consequential regressions are credibly protected against silent recurrence;
- behavior involving data integrity, destructive operations, compatibility, security, concurrency, idempotency, and recovery is credibly protected;
- important external boundaries have realistic integration coverage;
- representative complete workflows are tested;
- failures provide useful signal rather than redundant noise;
- legitimate internal changes usually do not require test edits; and
- additional tests would mostly repeat existing protection or preserve inconsequential implementation details.
Sufficiency is a risk judgment, not a coverage percentage or test count. Reassess it as the application, its users, and the consequences of failure evolve.
The governing rule is:
> Test heavily where failure is consequential, subtle, or difficult to detect after the fact. Test lightly where failure is obvious, reversible, and inexpensive—and retain no test whose lifetime cost exceeds the confidence it provides.