Backed by Afore Capital

Interviewsthat reveal AI-ready talent.

See how candidates use modern AI tools to ship.

Book a demo See it in action

Signal Snapshot

Interview outcome report

Session

42 min

Recommendation

Hire

AI-ready signal: strong

Confidence

92%

AI tool usage

Claude Code + Codex

31% of edits

Prompt semantic analysis

High clarity

Low drift

Focus stability

82% focused

Idle 8%

Test discipline

6 test runs

First at 7:40

Iteration pace

3 cycles

42 min total

Terminal fluency

22 commands

14 unique

Generated from live session eventsView full report →

interview-candidate-env - zsh - 80x24

Explorer

vpuddle

vapp

config.py

main.py

routes.py

vservices

ai_copilot.py

analytics.py

sync_engine.py

vmodels

candidate.py

session.py

>tests

requirements.txt

README.md

app/main.py

1from fastapi import FastAPI

3from app.config import settings

4from app.routes import router

5from services.sync_engine import SyncEngine

7app = FastAPI(title="Puddle Interview API", version=settings.version)

8sync = SyncEngine()

10@app.get("/health")

11def health_check():

12 return {"status": "ok", "uptime": sync.uptime()}

14app.include_router(router, prefix="/v1")

Terminal

Connected

$ ~ uvicorn app.main:app --reload

INFO: Started server process [412]

INFO: Application startup complete.

Uvicorn running on http://localhost:8000

Feature01

Live IDE + sandboxed terminal

Run code in an isolated workspace and see file changes reflected in the interview IDE.

const run = async () => {

const res = await api.test();

console.log(res.ok);

}

Feature01

Live IDE + sandboxed terminal

Run code in an isolated workspace and see file changes reflected in the interview IDE.

Live demo

Watch a real interview flow in motion

This is the exact experience candidates and panels see: the prompt, live IDE, AI guidance, and the signal trail that follows.

Watch the full demo See interview phases

live-demo.mp4

LIVE

Live IDEAI interviewerCandidate + panel viewSignals dashboard

Interview process

1
Problem discussion
~0–15 min
Clarify requirements, constraints, and success criteria.
2
Architecture + trade-offs
~15–35 min
Sketch the system, data flow, and key decisions.
3
Implementation
~35–75 min
Build the core solution with clean structure and tests.
4
Debrief
~75–90 min
Review decisions, risks, and next-step improvements.

const run = async () => {

const res = await api.test();

console.log(res.ok);

}

Interview Process

Problem discussion

~0–15 min

Clarify requirements, constraints, and success criteria.

Architecture + trade-offs

~15–35 min

Sketch the system, data flow, and key decisions.

Implementation

~35–75 min

Build the core solution with clean structure and tests.

Debrief

~75–90 min

Review decisions, risks, and next-step improvements.

01Phase

~0–15 min

Problem discussion

Clarify requirements, constraints, and success criteria.

sample

Preview

Scroll to this phase to see the sample artifact.

02Phase

~15–35 min

Architecture + trade-offs

Sketch the system, data flow, and key decisions.

sample

Preview

Scroll to this phase to see the sample artifact.

Ready to transform your technical interviews?

Join our waitlist to get early access. Book a 15-minute call to see how Puddle can help you hire better engineers, faster.

Book a Demo Call →Email us

Backed by Afore Capital

Interviewsthat reveal AI-ready talent.

See how candidates use modern AI tools to ship.

Book a demo See it in action

Signal Snapshot

Interview outcome report

Session

42 min

Recommendation

Hire

AI-ready signal: strong

Confidence

92%

AI tool usage

Claude Code + Codex

31% of edits

Prompt semantic analysis

High clarity

Low drift

Focus stability

82% focused

Idle 8%

Test discipline

6 test runs

First at 7:40

Iteration pace

3 cycles

42 min total

Terminal fluency

22 commands

14 unique

Generated from live session eventsView full report →

interview-candidate-env - zsh - 80x24

Explorer

vpuddle

vapp

config.py

main.py

routes.py

vservices

ai_copilot.py

analytics.py

sync_engine.py

vmodels

candidate.py

session.py

>tests

requirements.txt

README.md

app/main.py

1from fastapi import FastAPI

3from app.config import settings

4from app.routes import router

5from services.sync_engine import SyncEngine

7app = FastAPI(title="Puddle Interview API", version=settings.version)

8sync = SyncEngine()

10@app.get("/health")

11def health_check():

12 return {"status": "ok", "uptime": sync.uptime()}

14app.include_router(router, prefix="/v1")

Terminal

Connected

$ ~ uvicorn app.main:app --reload

INFO: Started server process [412]

INFO: Application startup complete.

Uvicorn running on http://localhost:8000

Feature01

Live IDE + sandboxed terminal

Run code in an isolated workspace and see file changes reflected in the interview IDE.

const run = async () => {

const res = await api.test();

console.log(res.ok);

}

Feature01

Live IDE + sandboxed terminal

Run code in an isolated workspace and see file changes reflected in the interview IDE.

Live demo

Watch a real interview flow in motion

This is the exact experience candidates and panels see: the prompt, live IDE, AI guidance, and the signal trail that follows.

Watch the full demo See interview phases

live-demo.mp4

LIVE

Live IDEAI interviewerCandidate + panel viewSignals dashboard

Interview process

1
Problem discussion
~0–15 min
Clarify requirements, constraints, and success criteria.
2
Architecture + trade-offs
~15–35 min
Sketch the system, data flow, and key decisions.
3
Implementation
~35–75 min
Build the core solution with clean structure and tests.
4
Debrief
~75–90 min
Review decisions, risks, and next-step improvements.

const run = async () => {

const res = await api.test();

console.log(res.ok);

}

Interview Process

Problem discussion

~0–15 min

Clarify requirements, constraints, and success criteria.

Architecture + trade-offs

~15–35 min

Sketch the system, data flow, and key decisions.

Implementation

~35–75 min

Build the core solution with clean structure and tests.

Debrief

~75–90 min

Review decisions, risks, and next-step improvements.

01Phase

~0–15 min

Problem discussion

Clarify requirements, constraints, and success criteria.

sample

Preview

Scroll to this phase to see the sample artifact.

02Phase

~15–35 min

Architecture + trade-offs

Sketch the system, data flow, and key decisions.

sample

Preview

Scroll to this phase to see the sample artifact.

Ready to transform your technical interviews?

Join our waitlist to get early access. Book a 15-minute call to see how Puddle can help you hire better engineers, faster.

Book a Demo Call →Email us