🎓 Internship180-day curriculumMy dashboardLearning libraryIncome & careers

Phase 4 / 6 · Day 116 / 180

Performance and inclusive design

Performance work begins with measurement under a stated environment. Accessibility needs both automated checks and manual investigation. Optimize the actual bottleneck and show a before-and-after comparison. A fast page that loses user input or cannot be used by keyboard still needs improvement.

Daily practice · add a work note or evidence

Submit day 116All days

Today’s working brief

Use the shared service-request product: customers raise requests, the team triages them and customers track their progress. Choose the assignment for your approved role. Scope the work to one demonstrable improvement and state what is not yet covered.

Suggested study session: read and plan for 20 minutes, practice for 60–90 minutes, check the result for 20 minutes, then record evidence and a short reflection. This is a suggested learning schedule, not required employment hours.

💻 Software engineering

Measure a frontend and API baseline

  1. Keep the change small and runnable; record the exact setup commands and supported environment.
  2. Implement the named task in the service-request project, or an isolated practice branch if it does not belong in the main stack.
  3. Check one normal case, one invalid input and one failure or empty state. Record the results and commit the work.

Evidence: A GitHub repository, commit, pull request or report showing today’s work and how to review it.

🎨 UI design

Audit visual hierarchy under real content

  1. State the user goal, assumptions and screen or flow addressed by today’s assignment.
  2. Create the named artifact in Figma with clear frames, component names and annotations. Distinguish assumptions from observed research.
  3. Check readable text, keyboard/focus intentions, error and empty states. Explain one design trade-off and update the handoff notes.

Evidence: A viewable Figma file or prototype, with relevant frame names in your work log.

🔎 Software QA

Create performance test conditions

  1. State the feature, environment, test data and scope before testing. Use synthetic data.
  2. Create the named QA artifact in your evidence repository. For test cases, include preconditions, steps, expected results and actual results.
  3. Record reproducible findings, severity and evidence. Mark tests not run honestly and identify one remaining risk.

Evidence: A GitHub repository, commit, pull request or report showing today’s work and how to review it.

Definition of done

  • The artifact addresses today’s named role task.
  • Your notes identify what you personally completed and how it was checked.
  • Links are accessible to the reviewer; private repositories need a reviewer invitation.
  • No passwords, access tokens, customer data or other people’s personal details appear in evidence.
  • You have written one learning point, blockers and actual time spent.

For a seven-person team, a useful starting split is three engineers, two designers and two QA learners. Rotate coordination and review duties. Your individual submission must distinguish your contribution from shared work.

Read, then apply

Read the current official documentation for the feature you use. Record versions in your project README; avoid copying tutorials without understanding their assumptions.

Career & income practice

Active income · Understand a client problem

List three small businesses or community groups you could help. Write one concrete problem, the person affected, and a useful outcome. Do not promise work or contact anyone on behalf of the company.

Apply this exercise to today’s performance and inclusive design work. Save the result in your career notes. Income depends on demand, quality, effort and ongoing support; no earnings are promised.

Explore active income, passive-income experiments and jobs →

Technical practice · day 116

Test a risk, not just a line of code

Pick a failure that would harm the user: lost data, unauthorized access or a misleading success message. Define a reproducible check and its expected outcome. Prefer stable user-facing selectors for browser tests. Record environmental assumptions so another person can reproduce the result.

Apply it today: connect this check to your assigned task, record the actual outcome, and explain one limitation in your work note.

Browse official documentation and role-based resources →

qa · freeCodeCamp.org

Software testing with Playwright

Focus on the testing pyramid, locators and expected results. The course includes sponsored AI-tool segments; paid tools are not required for this programme.

Watch on YouTube ↗ · Course details

Reflection questions

  1. Which decision made the biggest difference to your result today?
  2. What evidence supports your claim that it works?
  3. What would you change after another teammate’s review?
Open submission form