Plan CommandKit performance improvements

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# Computational efficiency roadmap
Status: proposed; implementation has not begun.
Date: 2026-10-09.
## Purpose and authority
Reduce repeated work and avoidable allocations in CommandKit's command dispatch,
registration, and inspection reports. Favor straightforward changes with clear
benefits, and use measurements to decide whether more complex optimizations are
worth maintaining.
This document owns the proposed improvements, priorities, and completion
evidence. The [architecture policy](../policy/architecture.md), accepted
[ADRs](../adr/), [Go declarations](../../app.go), and
[CLI reference](../cli.md) continue to govern behavior. Follow the
[agent policy](../policy/agents.md) for proportionate implementation and the
[testing policy](../policy/testing.md) for validation. These proposals do not
establish new public performance or concurrency guarantees.
## Reviewed baseline
The efficiency review examined commit `54cfbd8` with a clean worktree. Its
findings come from source inspection; no benchmarks or allocation profiles were
run. Complexity observations identify scaling costs, not measured bottlenecks
or promised speedups. Recheck the affected implementation before starting work.
| ID | Observed work | Proposed result | Priority |
| --- | --- | --- | --- |
| PF-01 | PromptKit text reports are built even for YAML requests. | Render only the requested format and avoid redundant report buffers. | First pass |
| PF-02 | Selected-command lookup scans a map; each ancestor is rediscovered from the root. | Direct declaration lookup and ancestry traversal proportional to path depth. | First pass |
| PF-03 | Every invocation translates and sorts metadata; help and usage construct another backend tree. | Reuse immutable metadata and the invocation's prepared tree. | Measure and improve after the first pass |
| PF-04 | Aggregate YAML framing splits every line and copies the complete native document. | Inspect only the opening lines; assess eliminating the complete framed copy. | Prefix scanning in the first pass; copying afterward |
| PF-05 | Each registration copies the existing top-level registry. | Prepare new entries separately and install a validated batch atomically. | Lower priority |
| PF-06 | Scope ordering, lookup, and selection repeat; selector duplicate checks scan previous entries. | Prepare stable scope metadata once and use direct duplicate checks. | Lower priority |
The implemented package inventory remains owned by the
[internal overview](../internal/overview.md). The target is internal improvement
within the existing root facade and Cobra adapter; no additional public package
or consumer registration API is proposed.
## Target behavior and ownership
Optimizations preserve the existing contracts rather than changing operator or
consumer workflows:
- Keep Cobra/pflag objects and operations inside the internal adapter, following
[ADR 0003](../adr/0003-public-facade.md).
- Keep parsed values, collections, and presence independent between invocations.
[ADR 0002](../adr/0002-cobra-backend.md) permits safe reuse; rebuilding backend
storage is an implementation choice. Caller-owned state retains its lifecycle.
- Preserve registration validation, reserved command ownership, and complete
batch validation before changing the registry, as documented in
[command declarations](../../command.go) and [registration](../../registry.go).
- Keep metadata construction, help, and version independent of provider
acquisition under the architecture policy.
- Preserve owning-library rendering and confidentiality semantics, aggregate
document order, and acquisition of all selected views before `config show`
output under [ADR 0007](../adr/0007-native-yaml-reports.md).
- Preserve cancellation, diagnostic delivery, outcome classification, and
reporting of partial output and write failures under
[ADR 0005](../adr/0005-invocation-outcomes.md).
Registration and command metadata belong to the root implementation. Backend
indexes and invocation machinery belong to `internal/cobra`. Report formatting
and scope preparation remain with the corresponding root handlers. Acquisition,
configuration resolution, and provider lifetime remain with the existing
integration contracts and consuming applications.
## Proposed improvements
### PF-01: Render only the requested PromptKit format
In [PromptKit handlers](../../promptkit.go), `runPromptKitPrompt` calls
`formatPromptText` before `writePromptKitReport` chooses a format.
`runPromptKitProfile` similarly calls `formatProfileText` unconditionally. The
profile text formatter serializes `ExtraParams` as nested YAML; a YAML request
then serializes those parameters again as part of the structured report. Text
delivery also copies an already completed report into another builder.
Choose the requested formatter before rendering. Use a straightforward buffer or
completed report representation that avoids the redundant text-buffer copy.
Continue using the existing structured report representation and YAML encoder;
the optimization concerns when rendering occurs and how its result is delivered.
Completion evidence should show unchanged text and YAML report semantics,
including `ExtraParams`, diagnostics, and delivery failures, with eliminated
unused text construction for YAML requests. Measure prompt input collections and
profile parameter maps large enough to expose the redundant work.
### PF-02: Index command declarations and ancestry
In the [Cobra adapter](../../internal/cobra/parse.go), `declarationFor` scans the
declaration-to-backend map to find a selected backend command. `pathFor` calls
`parentOf` from the root for every ancestor. For N command nodes and selected
depth D, repeated parent searches can take O(N × D) work; a chain can produce
quadratic work.
Record a backend-to-declaration mapping during construction. Build parent links
alongside it, or traverse Cobra's existing parent relationships internally.
Prefer an implementation that reconstructs only the selected path rather than
storing a separate complete path for every node. Declaration lookup should be
constant time, with path construction proportional to D after tree preparation.
Exercise shallow, wide, and deeply nested declarations through dispatch, help,
and usage. Preserve exact registered-path matching and error classification.
This improvement removes redundant searches; constructing the complete backend
tree still has a separate cost addressed by PF-03.
### PF-03: Reduce command-tree reconstruction
[Metadata translation](../../parser.go) copies and sorts the registered tree on
every invocation, including flag and operand declarations. The adapter then
builds backend commands and flag sets for all nodes. Help and usage rendering
build another complete backend tree after parsing has already built one.
Pursue two improvements:
1. Retain the invocation's prepared backend tree inside the adapter and use it
for parsing, help, and usage. The root coordinates these operations without
receiving Cobra/pflag objects. Keep the internal coordination API narrow.
2. Prepare or lazily cache immutable bridge metadata and sorted child order per
`App`. Refresh that derived state after successful registration. Failed
registration must leave the previously registered commands usable, including
their help and dispatch behavior.
Metadata caching principally benefits repeated `Execute` calls. Avoiding a
second backend construction also benefits a single CLI help or usage request.
Measure both cases separately, including the cost of app construction and
registration for consumers that execute only once.
Reusing mutable backend trees across different invocations is a later option,
conditional on measured benefit and a clear account of state reset and value
ownership. The first target can retain fresh backend parse state for each
invocation. No public freeze step, backend selector, or concurrent-dispatch
guarantee is needed for these improvements.
### PF-04: Reduce aggregate YAML scanning and copying
In [configuration display](../../show.go), `hasYAMLDirective` and
`frameEffectiveYAML` split the complete document into lines before examining its
opening content. These splits scan all bytes and allocate a slice entry for each
line, even when the framing decision can be made immediately. Framing then
allocates a complete copy alongside the native buffer.
First, scan the preamble with byte offsets, stopping when the directive or marker
decision is complete. Share the resulting framing analysis where useful so
directive detection and scope-label placement do not independently scan the same
preamble. Avoid a document-wide line index and unnecessary string conversions.
Then evaluate delivering separators, labels, and native byte segments directly,
retaining one native render buffer without a second complete framed copy. Keep
the design simple enough to preserve failure handling for multiple writes.
Preserve native bytes, directive placement, inline document content and block
scalars, scope-label escaping, and boundary newlines according to the CLI
contract. Keep single-scope native delivery direct. Aggregate acquisition remains
complete before output; the current code buffers one rendered document at a time,
not every scope's rendered bytes simultaneously.
Measure documents with many short lines as well as large values. The initial
target removes avoidable scans and allocations; complete rendering and delivery
will still require work proportional to output size.
### PF-05: Avoid repeated registry copying
[Registration](../../registry.go) copies all existing top-level entries for each
`Register` call. Registering R top-level commands individually therefore produces
O(R²) cumulative map-copy work, apart from validation and declaration cloning.
This is a construction cost, not work performed by a registered handler.
Validate declarations, check collisions against both existing and pending
entries, and prepare owned new entries in temporary storage. Install them only
after the complete batch succeeds. Preserve declaration ownership and atomic
validation without copying every existing map entry.
Compare individual and batch registration at representative sizes. Batch
registration is already available to consumers; adopting it is an optional
consumer optimization, not a new requirement. Coordinate this work with PF-03's
metadata refresh so registration has one clear completion point.
### PF-06: Prepare stable configuration scope metadata
[Scope selection](../../selectors.go) sorts scope declarations and repeatedly
searches the scope slice. Aggregate selection and handler acquisition each look
up every scope by name, producing quadratic scope-search work. Selection also
occurs during preflight and again in the handler. In
[suite normalization](../../config.go), selector duplicate checking compares each
selector with all previous selectors; PromptKit already uses name and short-name
maps for the equivalent check.
Prepare stable scope order and a name lookup during suite registration, keeping
that derived data private. Use direct name and short-name checks for selector
duplicates. Assess retaining the selected scopes in invocation-owned input after
preflight if repeated selection remains significant; keep selector applicability
and per-invocation contexts fresh.
Measure the normal small scope set before adopting additional indexes for
selector applicability. Preserve scope order, declared operation availability,
and scope-aware selector validation under
[ADR 0009](../adr/0009-configuration-scopes.md). Do not invoke acquisition while
preparing this metadata.
## Recommended sequence and measurement
1. Establish focused before-change measurements for PF-01, PF-02, and PF-04,
then implement conditional formatting, direct command lookup/ancestry, and
YAML prefix scanning as independently reviewable changes.
2. Measure complete dispatch paths and implement PF-03's reuse within an
invocation and immutable metadata preparation where the benefit justifies
the coordination and retained memory.
3. Evaluate PF-04's segmented delivery, PF-05, and PF-06 using the first-pass
evidence and expected consumer sizes. Record a deferral if a proposed change
adds complexity without a worthwhile benefit.
4. Consider backend reuse across invocations only if the remaining measured cost
warrants it.
Use Go benchmarks with controlled, offline fixtures when implementation work is
authorized. Keep external loading and service latency out of isolated CommandKit
measurements, and identify when an integration measurement includes provider
work. Include:
| Area | Representative comparisons |
| --- | --- |
| Dispatch | Small and larger registries; wide and deep trees; few and many flags; successful commands, help, and usage errors. |
| Lifecycle | Construction, registration, and first execution versus repeated execution on an existing `App`. |
| Reports | Prompt text/YAML; profile text/YAML with varied parameter maps; aggregate configuration documents with varied size and line count. |
| Registration and scopes | Individual/batch registration; small and larger scope and selector sets. |
Record elapsed cost, bytes allocated, and allocations per operation with the Go
version, machine, fixture dimensions, and benchmark scope. Use repeated samples
for comparisons; profile CPU or allocation behavior when it helps explain a
remaining cost. Account for memory retained by caches as well as allocation
reductions. Avoid combining every fixture dimension into a large benchmark
matrix without a specific question.
Choose behavioral validation according to each change's risks and existing
coverage. Important cases include fresh presence and collections across runs,
registration after earlier execution, failed registration, help without provider
loading, YAML framing, cancellation, and partial output. Behavioral tests should
protect the existing contracts; benchmark results assess efficiency without
locking in private data structures or exact helper-call sequences.
These measurements guide implementation choices. They do not establish fixed
timing thresholds, allocation budgets, or additional release gates.
## Completion and documentation
For each PF item, record whether it was implemented, deferred, or narrowed,
alongside its change reference, relevant behavioral validation, and measurement
results. An unmeasured improvement must be described as such. Completion means
the selected changes preserve the existing contracts and have evidence supporting
their claimed benefit; it does not require implementing every speculative reuse
option.
Update [internal documentation](../internal/overview.md) when implemented
mechanics change. Update public GoDoc or the CLI reference only when their owning
contracts need clarification. Keep proposal status and performance evidence in
this roadmap or a subsequent implementation plan.
Provider caching, consumer loader redesign, removing copies required for value
ownership, and replacing Cobra are outside this target. They require their own
concrete motivation and review rather than following automatically from a
performance optimization.