GROUND
Problem
What becomes confusing, fragile, or impossible without understanding union types? This lesson answers that through explanation, a worked example, two runnable exercises, and a reference solution. No teacher-supplied worksheet is required.
TypeScript added gradual static analysis to JavaScript without replacing its runtime, preserving ecosystem compatibility through erasure.
LEARN
Concept explanation
Union types belongs to “Inference and narrowing”. Type inference and narrowing reduce possible runtime states but external values begin as unknown. This lesson turns union types into a working part of weekly fixture.
For union types, trace concrete input, state transition, output, and failure through a compile-time relationship that constrains JavaScript while leaving runtime values and external data untrusted.
Types constrain possible programs during analysis, then disappear. Runtime values remain JavaScript values and external data remains untrusted. Apply that model to supplied normal, boundary, and failure cases; each case below names its input and expected evidence.
Evidence produced by the union types experiment: output, state, trace, bytes, timing, or diagnostics.
Condition that must remain true while inputs or implementation of union types change.
Point where union types crosses ownership, representation, time, process, network, or trust.
Example bank
Compare normal, boundary, failure, and cross-layer cases. Predict each observation before revealing the explanation.
SETUPBuild union types around this exact fixture: Model loading/success/error union and exhaustively render each state.
OBSERVEunion types handles baseline and boundary while preserving this observable result: Strict compile passes only with exhaustive handling and runtime validation at boundary.
WHY IT MATTERSThis isolates the normal contract of union types; preserve its raw evidence as the control for every later comparison.
SETUPAdd union types support for weekly boundary case: Parse unknown JSON through runtime guard.
OBSERVERecord what remains invariant and the first representation, owner, size, or timing value that changes in tsc · hx LSP · emitted JS · source maps.
WHY IT MATTERSA boundary example is useful only when one named dimension changes and everything else stays comparable.
SETUPMake union types surface—not hide—this failure: Add new union member and require compiler to expose missing branch.
OBSERVECapture the first divergence from the baseline, including exact input, diagnostic, state, and recovery result. Expected recovery: union types handles baseline and boundary while preserving this observable result: Strict compile passes only with exhaustive handling and runtime validation at boundary.
WHY IT MATTERSThe diagnostic is part of the interface. Repair the proven cause, not the most visible symptom.
SETUPTrace union types one layer below its usual abstraction through a compile-time relationship that constrains JavaScript while leaving runtime values and external data untrusted.
OBSERVERead inferred types, diagnostics, emitted JavaScript, declarations, module traces, and source maps.
WHY IT MATTERSThe lower layer is earned when it explains evidence the current layer cannot. Otherwise keep union types at the simpler boundary.
SEE
Worked example
Start from supplied lab.ts. Focus: Build union types around this exact fixture: Model loading/success/error union and exhaustively render each state.
- Run: npx tsc --strict --noEmit lab.ts
- Save baseline evidence. Read inferred types, diagnostics, emitted JavaScript, declarations, module traces, and source maps.
- Boundary case: Add union types support for weekly boundary case: Parse unknown JSON through runtime guard.
- Failure case: Make union types surface—not hide—this failure: Add new union member and require compiler to expose missing branch.
RESULT
union types handles baseline and boundary while preserving this observable result: Strict compile passes only with exhaustive handling and runtime validation at boundary. Starter-level baseline: Strict type checking exits successfully. Changing result.value to a string-only operation produces a compiler diagnostic.
START HERE
Starter material
PREREQUISITESNode.js 22+ and npm. TypeScript is installed locally so compiler version is explicit.
ONE-TIME SETUPmkdir reforging-ts && cd reforging-ts && npm init -y && npm install --save-dev typescript
Create lab.ts, paste this exact content, then run the command below.
type Observation<T> = { topic: string; value: T; valid: boolean };
function observe<T>(topic: string, value: T): Observation<T> {
return { topic, value, valid: value !== undefined };
}
const result = observe("union types", 1);
console.log(result.value);npx tsc --strict --noEmit lab.tsSTOP / CLEANUPCompiler exits by itself; no cleanup command required.
DO WITH GUIDANCE
Guided exercise
Complete one useful slice: union types
- Normal case: Build union types around this exact fixture: Model loading/success/error union and exhaustively render each state.
- Write predicted evidence from this named case before running starter.
- Implement smallest behavior that satisfies the checks.
- Run exact normal case. Save commands, inputs, outputs, and diagnostics in notebook.
- Explain changed evidence using lesson mental model in no more than five sentences.
Concrete guided solution
- Copy the supplied lab.ts unchanged and run: npx tsc --strict --noEmit lab.ts
- Write this prediction before inspecting output: union types handles baseline and boundary while preserving this observable result: Strict compile passes only with exhaustive handling and runtime validation at boundary.
- Perform only the named normal case: Build union types around this exact fixture: Model loading/success/error union and exhaustively render each state.
- Save the raw output, then annotate input → transition → evidence. Use tsc · hx LSP · emitted JS · source maps to confirm the transition rather than inferring it.
- Compare prediction with evidence; if they differ, keep both and write the rule that explains the difference. Reference baseline: Strict type checking exits successfully. Changing result.value to a string-only operation produces a compiler diagnostic.
DO ALONE
Independent exercise
Add one real case: union types
- Create second case from blank file: Add union types support for weekly boundary case: Parse unknown JSON through runtime guard.
- Then create controlled failure: Make union types surface—not hide—this failure: Add new union member and require compiler to expose missing branch.
- Use tsc · hx LSP · emitted JS · source maps to prove behavior, then repair controlled failure.
- Compare result against supplied acceptance checks and reference approach before marking complete.
Concrete independent solution
- Duplicate the starter into a clean comparison case; change only this boundary: Add union types support for weekly boundary case: Parse unknown JSON through runtime guard.
- Save its evidence beside the baseline and identify the first changed value. Read inferred types, diagnostics, emitted JavaScript, declarations, module traces, and source maps.
- Create the exact controlled failure: Make union types surface—not hide—this failure: Add new union member and require compiler to expose missing branch.
- Create smallest file or component named for union types; accept weekly fixture as input rather than embedding hidden state.
- Implement baseline path first: Model loading/success/error union and exhaustively render each state.
- Add one explicit branch or state for: Parse unknown JSON through runtime guard.
- Return, throw, display, or log actionable failure for: Add new union member and require compiler to expose missing branch.
- Run both successful cases after failure repair; verify: Strict compile passes only with exhaustive handling and runtime validation at boundary.
- Rerun baseline, boundary, and repaired failure together. Accept only if all reproduce: union types handles baseline and boundary while preserving this observable result: Strict compile passes only with exhaustive handling and runtime validation at boundary.
COMPARE
Expected result
- union types handles baseline and boundary while preserving this observable result: Strict compile passes only with exhaustive handling and runtime validation at boundary.
- Strict type checking exits successfully. Changing result.value to a string-only operation produces a compiler diagnostic.
- Controlled union types failure produces captured evidence; repair restores stated invariant without hiding error.
PROVE
Acceptance checks
Lesson is complete only when every check is true. Each check is stored locally and travels with your JSON backup.
0/5 complete · saved on this device
UNSTICK
Hints
Reveal hints
- Start with supplied normal case exactly as written: Build union types around this exact fixture: Model loading/success/error union and exhaustively render each state.
- For boundary case, change only named dimension: Add union types support for weekly boundary case: Parse unknown JSON through runtime guard.
- If result is confusing, diff raw inputs and evidence before editing implementation.
- If tool shows nothing useful, move observation one boundary lower: representation, runtime, OS, or network.
VERIFY
Solution
Attempt both exercises before opening reference approach.
Reveal reference solution
- Run unmodified starter and preserve baseline evidence: Strict type checking exits successfully. Changing result.value to a string-only operation produces a compiler diagnostic.
- Create smallest file or component named for union types; accept weekly fixture as input rather than embedding hidden state.
- Implement baseline path first: Model loading/success/error union and exhaustively render each state.
- Add one explicit branch or state for: Parse unknown JSON through runtime guard.
- Return, throw, display, or log actionable failure for: Add new union member and require compiler to expose missing branch.
- Run both successful cases after failure repair; verify: Strict compile passes only with exhaustive handling and runtime validation at boundary.
PREDICT · INSPECT · BREAK · DEBUG · MEASURE
Interrogate reality
Prediction: write expected output, state transition, ordering, and failure evidence before running either exercise.
Inspection: Read inferred types, compiler diagnostics, emitted JavaScript, declaration output, module traces, and source maps.
Measurement: Track compile time, declaration complexity, editor latency, escape hatches, and defects prevented.
Capture raw evidence before explaining.
Change one assumption and force controlled failure.
Find cause with tsc · hx LSP · emitted JS · source maps before editing fix.
MASTERY + FRONTIER + BOUNDARY
Own the knowledge
Explain union types at beginner, intermediate, and senior depth.
Recreate smallest useful example from blank file without notes or AI.
Schedule recall for day 1, 7, 30, and 90.
Creative frontier lab
Try first without opening the solutions. The constraints invite invention; the reference gives one concrete direction, never the only valid answer.
Re-solve union types by removing the most convenient abstraction. make invalid states unrepresentable without assertions or broad escape hatches.
CONSTRAINTKeep the same inputs, observable result, and failure evidence; change the means, not the contract.
ORIGINAL IDEATurn subtraction into a design tool: the missing abstraction should reveal which responsibility it used to hide.
Reveal frontier solution
- Freeze the contract as three fixtures: Build union types around this exact fixture: Model loading/success/error union and exhaustively render each state. / Add union types support for weekly boundary case: Parse unknown JSON through runtime guard. / Make union types surface—not hide—this failure: Add new union member and require compiler to expose missing branch.
- List every convenience used by the starter; remove the highest-level one while preserving npx tsc --strict --noEmit lab.ts.
- Implement the smallest replacement using make invalid states unrepresentable without assertions or broad escape hatches.
- Run all fixtures and compare raw evidence. Keep the simpler version unless the removed abstraction has a demonstrated benefit.
Build an explanation artifact for union types: place inferred type, emitted JavaScript, runtime value, and boundary validation side by side.
CONSTRAINTA peer must be able to locate the first divergence without reading implementation code.
ORIGINAL IDEATreat the explanation itself as a product: make invisible transitions visible, replayable, and diffable.
Reveal frontier solution
- Create one row or timestamped event for each transition in: Build union types around this exact fixture: Model loading/success/error union and exhaustively render each state.
- For every row record input, representation, owner, operation, output, and tool evidence from tsc · hx LSP · emitted JS · source maps.
- Replay Add union types support for weekly boundary case: Parse unknown JSON through runtime guard.; highlight only changed rows.
- Replay Make union types surface—not hide—this failure: Add new union member and require compiler to expose missing branch.; stop at the first divergent row and attach its recovery action.
Combine the boundary and failure into a new user-visible scenario for union types. generate an exhaustive table whose new row intentionally breaks compilation until handled.
CONSTRAINTDo not merely add more input. Invent a recovery interaction, alternate representation, or self-checking behavior.
ORIGINAL IDEAMake the system teach its own limits: the artifact should expose the invariant and offer a safe next action when it breaks.
Reveal frontier solution
- Combine these two pressures without changing them: Add union types support for weekly boundary case: Parse unknown JSON through runtime guard. AND Make union types surface—not hide—this failure: Add new union member and require compiler to expose missing branch.
- Name the invariant that must survive and the user-visible evidence when it cannot: union types handles baseline and boundary while preserving this observable result: Strict compile passes only with exhaustive handling and runtime validation at boundary.
- Implement this original direction: generate an exhaustive table whose new row intentionally breaks compilation until handled.
- Demonstrate baseline, combined failure, recovery, then baseline again; save the sequence as a regression fixture.
Capability frontier
Push union types until another layer becomes justified. Record one robust technique, one contextual trade-off, and one labeled hack or historical curiosity.
CORE · PRACTICAL · CONTEXTUAL · HACK · FRAGILE · HISTORICAL · GOLF
Boundary
A type proof cannot validate network data, permissions, temporal behavior, performance, or implementation honesty.
If this vanished tomorrow…
Use runtime validation, tests, contracts, documentation, and disciplined JavaScript data modeling.
Why next layer is earned
Node is earned when trusted server-side work, shared state, filesystem access, or remote coordination becomes necessary.