MODULE 29 · LESSON 29.2
Separate delegated authorization from identity, then use Authorization Code with PKCE for public clients.
Use the concept at the correct boundary
The difficult part of OAuth 2.0, OpenID Connect and PKCE is deciding where the responsibility belongs and how you will know it works. This lesson defines an application trust boundary, where an explicit contract is safer than framework convention or an undocumented assumption.
Here, that decision supports a specific checkpoint: Threat-model a mobile CourseFlow client and a third-party calendar integration, then select the correct authorization flow for each. A reviewable result should include a repeatable request, automated test, query result and failure response rather than a claim that the feature simply works.
OAuth 2.0, OpenID Connect and PKCE workflow
- 1Authorization Code
- 2PKCE
- 3Scopes
- 4OpenID Connect
A practical model for oauth 2.0, openid connect and pkce
Separate delegated authorization from identity, then use Authorization Code with PKCE for public clients. The useful unit of understanding is the boundary: who owns the decision, which input crosses it, what result is visible and how a failure is reported.
- Authorization Code: Explain the concept without framework jargon, then point to it in the working example.
- PKCE: Decide what belongs in code, configuration, data or documentation and explain why.
- Scopes: Name its input, observable result and most likely failure in this lesson.
- OpenID Connect: Locate this responsibility in CourseFlow and defend the boundary you chose.
Engineering decisions for OAuth 2.0, OpenID Connect and PKCE
These are the details that separate a working demonstration from a maintainable production decision.
- Use OpenID Connect for authentication; OAuth 2.0 defines delegated authorization and access to resources.
- PKCE binds the code exchange to the client that started it and is required for modern public-client flows.
- Request the smallest useful scopes, validate redirect URIs exactly, and avoid deprecated implicit or password-grant tutorials.
What the example proves
Use the sample to answer one question: does the implementation make authorization code easier to verify or merely harder to see?
1. Client creates code_verifier and code_challenge
2. Browser goes to the authorization endpoint with challenge and state
3. Provider returns a short-lived authorization code
4. Client exchanges code + verifier at the token endpoint
5. API validates issuer, audience, expiry and granted scopeChange one input connected to authorization code, predict the result, then run the successful path and one failure path.
Implement and verify one behavior
- 1Authorization Code
Add this responsibility at the narrowest sensible boundary; do not pull an unrelated layer into the change.
- 2PKCE
Run the focused example and save the output, trace, query or screenshot that confirms the result.
- 3Scopes
Break one assumption on purpose, make recovery clear and record the trade-off you accepted.
- 4OpenID Connect
Name the caller and the owner of this behavior before changing the implementation.
Common design traps
- Treating authorization code as vocabulary instead of defining the behavior it must produce.
- Testing the expected path while ignoring an empty, invalid, repeated or unauthorized case around PKCE.
- Allowing scopes to cross a boundary without an explicit contract or useful error.
- Changing several layers before capturing the first piece of evidence, which makes the original cause harder to see.
Diagnose before changing code
- Reduce the problem to the smallest failing OAuth 2.0, OpenID Connect and PKCE case.
- Capture the actual input and output at the authorization code boundary.
- Read the first relevant error, request, trace or query rather than the loudest downstream symptom.
- Test one explanation for the failure in PKCE; avoid changing two variables together.
- Keep a regression check that would expose the same defect if it returned.
Security decision
Validate external input, authorize the requested action, use parameterized data access, and keep credentials out of responses, source control and logs.
Performance decision
Bound queries and collections, inspect the actual request or query plan, and optimize only the slow boundary confirmed by evidence.
PRACTICE
Build something you can inspect
Draw the login sequence, bind state to the browser transaction, and show how the server handles a denied consent response.
Stretch challenge
Replace one happy-path assumption about PKCE with explicit validation and show the before-and-after behavior.
Definition of done
- The behavior around authorization code works with realistic input.
- A failure involving PKCE is handled clearly and without leaking sensitive detail.
- The implementation remains keyboard-usable when it produces an interface.
- Your evidence directly supports the claim made in the exercise.
- The README records the important trade-off without pretending the solution is universal.
Check your reasoning
Why does OAuth 2.0 alone not define who the signed-in user is?
Answer by naming the expected authorization code behavior, the layer responsible for it and the evidence that would confirm your explanation.
Where would you investigate the first failure?
Start where PKCE crosses a boundary. Compare the actual input and output there before following downstream symptoms.
What would make this work reviewable?
Show the focused change, repeatable steps, the result of your check and one honest trade-off connected to scopes.
What to carry into the next lesson
- Separate delegated authorization from identity, then use Authorization Code with PKCE for public clients.
- Keep authorization code visible at the boundary where it can be tested.
- Use evidence from PKCE before widening the implementation.
References and related reading
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