majiayu000 Spike
You can't compare approaches in the abstract. Implement each one, see how they feel in real code, then decide. This removes speculation and replaces it with evidence.
Why This Works
Design discussions stall on hypotheticals. Implementing each approach takes the guesswork out. You get exact line counts, real dependency changes, actual lint/compile errors that reveal hidden constraints, and the visceral feel of reading the code.
On Activation
- Select — Choose N approaches to implement.
- Prepare — Identify the base branch and files to modify.
- Implement — One branch per approach, fully working.
- Verify — Each branch compiles and passes lint.
- Compare — Side-by-side table of discriminating dimensions.
Phase 1: Select
Identify exactly N approaches. Sources include /synthesize output, /brainstorm rankings, a user-specified list, or freeform description.
If the user hasn't specified which approaches, ask via AskUserQuestion.
For each approach, define a branch name (spike/<descriptive-name>), which option(s) it implements, and a one-line summary. Present the plan before implementing.
Some brainstorm options are complementary — combine them into a single branch when they strengthen each other rather than competing.
Phase 2: Prepare
- Read all files that will be modified across branches. Load them once — they're the same starting point for every branch.
- Note the base branch — all spike branches fork from here.
- Identify the verification command (
make format lint,cargo clippy,npm run lint, etc.). Ask if unclear.
Phase 3: Implement
Work through branches sequentially (they modify the same files). For each: check out the base branch, create spike/<name>, implement fully.
Fully means: all code changes, updated imports and call sites, updated doc comments. No stubs, no TODOs. The implementation should be complete enough to merge if the team chose this approach.
Handle errors as they come. Lint failures and compile errors are expected — they reveal hidden constraints. Fix them and note them for the comparison.
Equal effort across all branches. If you spend extra time making one branch elegant, you're biasing the comparison.
Phase 4: Verify
After implementing each branch, run the verification command. Fix failures (the fix is data), re-run until clean, then commit. Every branch must compile and pass lint before moving to the next.
Phase 5: Compare
Present a side-by-side comparison table. Choose dimensions that discriminate — if all branches score the same on a dimension, drop it. The right dimensions come from the problem domain, not a generic checklist.
Don't pick a winner. The comparison table is the deliverable. The user has the full picture now. Ask:
"What do you want to do with these?"
Anti-patterns
- Stubs instead of implementations — "TODO: implement this" is not a spike. The point is to feel the real code.
- Skipping verification — A branch that doesn't compile can't be compared fairly.
- Generic comparison dimensions — "Complexity: medium" is useless. Use specific, measurable dimensions.
- Picking the winner — Let the human decide. You removed the implementation effort barrier; now let them apply judgment.
- Forgetting to return to base — Each branch forks from the same base. Always check out the base between branches.
Defaults
- N = 4 if
-nnot specified - Branch prefix:
spike/ - If N > 6, warn that implementation time may be excessive, but comply
The user has approaches to compare. Implement N spike branches. Start with Phase 1: Select the approaches.