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PrakuraIT Solutions
Engineering Simulation OS · Future vision

Code Engine Grows Into an Engineering Simulation OS

Not only “write code” — build, debug, test, deploy, monitor, fix, collaborate and architect in realistic simulated environments.

Today: Code Engine (today) Today: QA Agent

Every concept carries a status

Status: AVAILABLE
Already supported by Prakura products or demos today.
Status: NEAR-TERM
An expected evolution of an existing Prakura capability.
Status: EMERGING
Technology that is becoming commercially practical.
Status: RESEARCH CONCEPT
An experimental direction Prakura is studying.
Status: MOONSHOT CONCEPT
A long-term product vision, not a plan or commitment.

01

AI Engineering Sandbox & Generated Worlds

Pick a domain and an engineering world is generated: requirements, codebase, APIs, database, bugs, tests and architecture.

Status: RESEARCH CONCEPT

Generate a world

Requirements

  • Transfer between accounts
  • Daily limit rules

System

  • React frontend
  • Payments API
  • Postgres ledger
  • CI/CD
  • Logs & monitoring

Seeded bugs

  • Rounding error on limits
  • Race condition on double-submit

Synthetic systems for practice only.

02

Dynamic Coding Challenges & Infinite Practice

Scenarios adapt to ability, and variations never run out: bugs, features, APIs, testing, architecture and refactoring.

Status: NEAR-TERM

Learner level

Generated challenge

  • Add email validation to the sign-up form

Variations

  • Phone validation
  • Password rules
  • Error message copy

03

AI Pair Engineer

Nine modes, from silent observer to interviewer.

Status: NEAR-TERM

  • Observe

    Watches quietly, speaks only if asked.

  • Hint

    Nudges without giving the answer.

  • Question

    Socratic questions.

  • Review

    Code review comments.

  • Debug

    Helps narrow down a failure.

  • Challenge

    Adds an edge case.

  • Interview

    Asks as an interviewer would.

  • Architecture

    Discusses design trade-offs.

  • Production Incident

    Coaches through an outage.

Coding coach (today)

04

Production Incident Simulator

INCIDENT: checkout API latency increased. Inspect logs, monitoring, code, network and database, then choose a root cause.

Status: RESEARCH CONCEPT

05

Engineering War Room

Teams collaborate during a simulated outage, each with a clear role.

Status: RESEARCH CONCEPT
Engineering War Room
RoleOwnsAI assistant helps with
DeveloperFixDiff of recent changes
QAReproductionRegression test draft
DevOpsRollbackDeployment history
SREIncident commandTimeline + status update draft
ProductCustomer commsImpact summary

06

AI Software Factory

A requirement flows through specialist agents — and a human approves before release.

Status: EMERGING
  1. 1Requirement entersHuman
  2. 2Product Agent: stories + acceptance criteriaAI
  3. 3Architecture Agent: design noteAI
  4. 4Developer Agent: draft PRAI
  5. 5QA Agent: tests + riskAI
  6. 6Security Agent: scan + findingsAI
  7. 7DevOps Agent: release planAI
  8. 8Human ReviewHuman · approval gate
  9. 9ReleaseSystem

07

Software Factory Control Room

Feature-level view of stage, agents, humans, tests, security and quality.

Status: RESEARCH CONCEPT
Software Factory Control Room
FeatureStageAgentsHumansTestsSecurityQuality
Saved cardsHuman Review52142 ✓0 highReady for review
Refund flowQA3161 / 4 ✕1 mediumBlocked
Dark modeReleased4288 ✓0Released

Illustrative data.

08

Autonomous Testing Universe (Prakura Test AI)

AI explores a website, maps it, creates and runs scenarios, then explains risk — a human QA reviews.

Status: EMERGING
  1. 1WebsiteSystem
  2. 2AI explores pagesAI
  3. 3Builds functional mapAI
  4. 4Creates scenariosAI
  5. 5Executes simulated pathsAI
  6. 6Observes failuresAI
  7. 7Explains riskAI
  8. 8Human QA reviewsHuman

09

Self-Healing Testing Concept

Suggests a selector fix — but never hides a real product defect.

Status: EMERGING
  1. 1UI changed: button renamedSystem
  2. 2Test failsSystem
  3. 3AI identifies likely changed selectorAI
  4. 4Suggests fix + flags: is this an intended change?AI
  5. 5Human approvesHuman · approval gate

10

AI Quality Digital Twin

A model of product quality across flows, APIs, components, tests, defects, risk and incidents.

Status: RESEARCH CONCEPT

Quality Twin connects to

11

Release Confidence Simulation

Not pass/fail — a review of signals. The outcome is a Release Review, not “AI guarantees a safe release”.

Status: NEAR-TERM
Test coverage (changed code)
81%
Risk
Medium
Payments touched
Regression
2 flaky, 0 new failures
Changed components
7
Historical failure
Refunds: 3 in 6 months
Critical paths
Checkout ✓ · Login ✓

Decision: Release Review with the QA lead. Illustrative data.

12

Synthetic User Lab & Synthetic UX Testing

Simulated personas walk your journeys to find confusing flows, friction, accessibility issues and potential drop-offs.

Status: EMERGING

Run the sign-up journey as…

Findings

  • Jargon on step 2 (“SSO tenant”)
  • No example for the password rule

Synthetic personas complement — never replace — testing with real users.

More of the Prakura Intelligence Universe

Future concepts are potential directions and Prakura explorations — not commitments or predictions. Every visual on this page has a list or text equivalent, and all motion stops with reduced motion.

See what Prakura can do for you today

Every future concept starts from a product you can try now.

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