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SDD 14 - Framework Comparison

category: learnz/sdd · date: 2026-10-04 · author: LALA · theme: github

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Start with the failure you want to fix. If decisions disappear between sessions, improve the durable record. If the system evolves without a clear contract, manage specification changes. If the agent rushes through implementation, improve testing and review. If product, architecture and delivery drift apart, make those handoffs explicit.

Matt Pocock Skills, Spec Kit, OpenSpec, BMAD Method and Superpowers overlap, but their strongest organizing ideas differ. Choosing by that difference is more useful than choosing by repository popularity.

noteThis is an architectural and workflow comparison based on upstream documentation checked on 2026-10-04. Recommendations are editorial judgments, not benchmark results. No claim is made that one framework produces more correct code, uses fewer tokens or runs faster across models.
Knowledge map of five AI development approaches and the common engineering feedback loop.
Knowledge map of five AI development approaches and the common engineering feedback loop.

Colors mean the same thing in every diagram of this Learning: see the color key. The five methods are drawn in white on purpose: color never ranks a framework.

The short answer

Your main needStart by evaluatingReason
Composable engineering workflows and project knowledgeMatt Pocock SkillsConnects clarification, domain language, specs, tickets and implementation
A repeatable route from a feature requirement to a planSpec KitMakes specification, planning, tasks and convergence explicit
Controlled evolution of an existing system contractOpenSpecSeparates current specifications from proposed change deltas
Product-to-delivery coordinationBMAD MethodProvides planning, specialist perspectives, stories and build workflows
Better design, testing, debugging and completion habitsSuperpowersOrganizes engineering routines around the agent's execution process

These are starting hypotheses. For example, OpenSpec also works with new projects, BMAD Method has a small-change path, and Spec Kit now documents optional processes outside SDD. The categories describe emphasis, not hard limits.

Compare the durable artifacts

ApproachTypical durable recordMain review question
Matt Pocock SkillsDomain docs, ADRs, tracker specs and tickets, repository agent configurationAre the decisions and slices clear enough for another session?
Spec KitProject constitution, feature specification, technical plan and tasksDoes implementation converge on the accepted contract?
OpenSpecCurrent specs, change proposals, deltas, design, tasks and archiveWhat changed in the system's promise, and was it reconciled?
BMAD MethodInitiative planning artifacts, requirements, architecture decisions and ticketsCan the next role or build session act without guessing?
SuperpowersDesign and plan files for larger work, code, tests and review evidenceDid the agent follow a suitable design and verification process?

File locations are defaults. What matters is ownership: one maintained source for each decision, a clear handoff to implementation and evidence that corresponds to the final code.

Compare the cost of the process

ApproachSetup shapeCost to watch
Matt Pocock SkillsSkills or plugin plus repository setupToo many skills or unnecessary ticket decomposition
Spec KitPython CLI plus project and agent scaffoldingRepetitive spec and plan documents for trivial work
OpenSpecNode.js CLI plus change/spec structureBaseline specifications drifting after implementation
BMAD MethodSkills or plugins plus shared project setupHandoffs and planning artifacts beyond the needs of the change
SuperpowersHarness-specific plugin or packageRepeated design/review interactions or more execution machinery than needed

These are qualitative risks, not measured overhead rankings. A longer planning step can be economical if it prevents expensive rework. A short plan can be wasteful if it is unnecessary for an obvious edit.

None of these installations supplies free model inference. Agent subscriptions, API usage, tool execution and reviewer time are separate costs. Measure them in your actual setup.

A decision map

Choose a framework according to the engineering failure you want to improve.
Choose a framework according to the engineering failure you want to improve.

The same team may need different methods in different repositories.

Run a fair comparison

Use the starter lab. It contains a tiny working Markdown index CLI and four baseline tests. The requested change is the same on every framework track: add JSON output while preserving existing text behavior.

Walk the Matt Pocock Skills lab route first: that run is the baseline the others are compared with. Every framework has a lab route with the same levels and checks. Make a separate copy or branch from the same starting files for each trial. Keep the coding agent, model, tool permissions, starting files and feature requirements fixed. Record each framework's version or installed revision. Do not mix framework installations into the same comparison copy.

IDAcceptance criterionEvidence to collect
AC1Existing text output remains identicalBaseline subprocess test
AC2, AC3JSON is an array with exactly the documented fields, in filename orderParse stdout and compare structured values
AC4Empty input returns an empty arrayA test with a temporary empty directory
AC5Bad arguments fail cleanlyExit status, stderr and empty stdout assertions
AC6Quotes and non-ASCII titles remain correctRound-trip JSON test with a synthetic title
AC7Top-level discovery and title fallback are unchangedTests with a nested file and a file without a heading
ExclusionsScope stays boundedDiff review for unrelated changes and dependencies

The IDs are the ones the lab uses, so results from different tracks can be laid side by side.

Start with one trial to understand each workflow, then repeat promising candidates on a real feature and a real bug. A tiny CLI exercise does not reveal how a method handles a multi-repository migration or months of specification maintenance.

Use a results sheet like this, filling in observations rather than estimated scores:

ObservationWhat to record
AcceptanceWhich criteria passed on the final revision
Human steeringClarifications, corrections and review effort
ReworkWrong assumptions discovered after implementation began
UsageReported model and tool usage, where available
Artifact qualityUseful decisions versus duplicate or stale documents
Fresh-session handoffWhether a new session understands the next task
MaintenanceWhether the second change updates existing knowledge correctly

Do not treat one successful run as a reliable ranking. Agent execution has variation, and a framework can appear better because its trial received more human help.

Can I combine them?

Yes, but define which system owns the workflow and each artifact. The following are proposed composition patterns, not documented turnkey integrations:

Primary ownerPossible complementBoundary to define
OpenSpec owns change contractsA selected TDD or debugging disciplineOpenSpec specs remain authoritative; no duplicate requirement system
Spec Kit owns feature planningA focused code-review skillReview the existing spec and plan; do not generate competing ones
BMAD owns product and story planningRepository-specific testing rulesBuild consumes the accepted story and normal test commands
Matt Pocock Skills or Superpowers owns executionExisting ADRs and domain docsKeep maintained knowledge in the repository's chosen locations

Start by evaluating them separately. Combining all five means five possible answers to “what should happen next?” and several places to record the same requirement. That is a coordination problem you would have to maintain yourself.

Where the coding agent, model and MCP fit

The framework supplies instructions and artifacts. The coding agent runs the interaction and exposes tools. The model reasons over the context it receives. Files, shell commands, test runners and optional MCP servers provide capabilities or information.

MCP can be useful when a workflow needs access to a tracker or a documentation service. It is not a prerequisite for this starter lab and does not turn a prose specification into an executable test. All examples can begin with local files and the agent's normal repository tools.

Likewise, installing a method does not make every model equally reliable. Evaluate your intended agent/model combination, especially when using a smaller local model with limited context or inconsistent tool use.

Recommendations for common engineering work

A small personal utility

Begin with your existing agent and normal tests. Try Matt's bounded implementation workflow or Superpowers if clarification, debugging or verification is the recurring weakness. Add durable specifications only when they solve an actual handoff problem.

An established service with compatibility requirements

Evaluate OpenSpec first if changes repeatedly lose track of what existing consumers expect. Make the maintained specification and regression tests agree. Choose Spec Kit if the bigger gap is the route from a new feature request to a technical plan.

A new application with multiple contributors

Evaluate Spec Kit for a shared feature planning structure. Evaluate BMAD when product definition, architecture, UX and story coordination all need attention. In either case, require independently useful slices rather than a long sequence of unfinished layers.

Infrastructure templates and network tooling

Use the framework to state invariants and failure behavior: what must remain compatible, what is allowed to change, and how a rollback or failed deployment is handled. Validate with the actual platform and tooling. A generated “secure architecture” paragraph does not prove a routing policy, IAM boundary or deployment template is correct.

Use synthetic configuration and identifiers for training exercises. Real credentials and operational data are unnecessary for learning the workflow.

Read the individual guides

TrackThe toolLevels 2 to 6
Matt Pocock Skills, the baselineStarter guideLab route
Spec KitStarter guideLab route
OpenSpecStarter guideLab route
BMAD MethodStarter guideLab route
SuperpowersStarter guideLab route

Checkpoint

Choose one recurring failure in your own workflow. Select one framework to evaluate and one observable improvement you would look for. Treat that choice as a hypothesis.

Comparison complete. You can now name the problem first and then choose a framework to evaluate for it.

Sources and interpretation

The tables summarize the following primary sources. The fit recommendations, comparison protocol and composition boundaries are my synthesis of those documented workflows; they are not claims made by all the maintainers.

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