Adaptive Code Practice

Adaptive Coding.
AI-Guided Practice for Every Student.

Students write real code in a real editor. An AI-powered guide tracks their progress, breaks hard problems into subproblems, and offers help the moment they need it — not before.

Try It Free → Schedule Demo

Problems decomposed into subproblems

Students choose their own help

Graduated scaffolding from hints to code

Full transparency for teachers

Watch a Student Get Unstuck — Step by Step

The student writes code, hits a wall, and chooses help — hints, scaffolds, or a Parsons detour. Full transparency for teachers.

Students Choose the Help — From a Nudge to a Lifeline

Hard problems are broken into subproblems with progress checkpoints. Students decide what kind of support to use — building agency alongside skill.

Orientation

See the subproblems and where you stand. Clarifies the goal without giving anything away.

Hints

Graduated from conceptual nudges to procedural guidance. Hints already passed are skipped automatically.

Scaffolds

Structural comments or pseudo code is offered, never actual code. Students fill in the logic.

Parsons Detour

Still stuck? Solve the subproblem as a drag-and-drop puzzle, then type the solution.

Progress Tracking

Knows Where Each Student Is

Every code run is evaluated against checkpoints. Help targets where the student is actually stuck.

✓ Hints skip forward when the code shows mastery
✓ Errors route to the right subproblem automatically
✓ Completion requires real evidence, not just "code exists"

Progress Example

find_min()

Completed — all tests pass

selection_sort()

In progress — outer loop exists, inner loop missing

Hint 3 of 5: "The inner loop should compare adjacent elements starting from index i+1..."

Teacher View

No Black Box

Teachers see the full timeline of every hint, scaffold, and Parsons detour each student used.

✓ Chronological timeline of every help action
✓ See which hints were shown vs. skipped
✓ Review Parsons solutions and help offered on them

Teacher Review — Student Timeline

Overview shown — Student saw the subproblem breakdown

Hint 1 for find_min() — "Compare each element to track the minimum"

Hint 2 for find_min() — "Track the minimum value AND its index"

Focus switched to selection_sort() — find_min() completed

Parsons completed for selection_sort() — student solved the puzzle

Grounded in Learning Science

Subgoal Learning

Labeled subgoals help students recognize structure and transfer learning to new problems.

Zone of Proximal Development

Graduated hints narrow the task to what the student can manage right now.

Learner Agency

Students who choose their own support develop stronger metacognitive skills.

Intelligent Hint Sequencing

Hints escalate like an expert tutor and skip what the student already knows.

How It Works in Your Course

Adaptive coding is automatic across all curricula — no authoring, no setup.

Enabled by Default

Most coding problems across all curricula automatically offer adaptive support. Assign a chapter and students get guided help out of the box.

Teacher Control

Turn adaptive help on or off for specific assignments. Use it for practice, disable it for assessments — one toggle.

Full Pathfinder Visibility

Teachers see exactly what help each student received from Pathfinder — which scaffolds were offered, which were used, and where students still struggled.

Feature Comparison

Coding Practice, Reimagined

Feature	Alps	Other Platforms
Automatic subproblem decomposition
Checkpoint-based progress per subproblem		~
Graduated, context-aware hints
Students choose their scaffold type
Built-in Parsons fallback per subproblem
Full interaction timeline for teachers		~
Subgoal labels, revealable as scaffold

Ready to Add Adaptive Coding to Your Course?

Start with the free Educator Basic tier. Every student gets a guide that meets them where they are.

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Adaptive Coding. AI-Guided Practice for Every Student.