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Technical Agents

Software Breaks in Three places. Most Platforms Watch One.

In execution, flaky failures hide the real one. At integrations, contracts change and nobody tells you. In production, the first report comes from a customer. Technical Agents watch all three and write to the same record, so every incident traces back to the requirement that caused it.

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The Problem

The Hidden Cost of Automation Instability

Regression that blocks releases. API contract breaks discovered in production. Production failures found by customers before engineering. Every hour of pipeline instability costs engineering productivity, customer trust, and release confidence.

  • Regression cycles delay releases
  • Automation instability erodes trust
  • API contract changes break integrations
  • Production issues detected too late
  • Monitoring is reactive, not predictive
  • Flaky tests waste engineering investigation time

How It Works

The Three Agents

Three RabbitQA modules work in concert to power Technical Agents, each shown live below.

1

AutoRunner

Parallel Test Execution Engine

Runs the suite across distributed infrastructure rather than sequentially, so a four-to-eight hour regression blocker becomes a minutes-scale gate. Flaky failures are separated out before an engineer sees them.

Massively parallel test execution across distributed infrastructure
Smart retry logic and flakiness detection that separates false failures from real ones
CI/CD integration with Jenkins, GitLab CI, GitHub Actions and Azure DevOps
Compatible with Selenium, Playwright, Appium, Cypress and the frameworks you already run
•Regression drops from hours to minutes, accelerating release cycles by 40-60%
•The 30% of unreliable failures stop consuming engineering time on false investigations
•An engineer still decides what a real failure means, and nothing is promoted without that acceptance
RabbitQA
Checkout Web
Search modules, documents, or tests...⌘ + K
3RQ
AutoRunner
Dashboard
Issue Tracker
Schedules
Reports
Sources
Settings

Platform

RabbitQA Dashboard
RabbitQA Board
Provisioning
Integrations
Settings
Support

Projects

Manage and organize your test projects

New Project

Healthy

6

pass >=80%

At Risk

2

pass 50-79%

Critical

1

pass <50%

Inactive

1

no runs in 14d
Search projects...
Filter
Sort
ProjectTypeStatsLast RunScheduleActions
Checkout WebWeb • Gauge12 plans • 148 scenariosPassedDaily 02:00
Mobile BankingMobile • Cucumber8 plans • 96 scenariosFailedNot scheduled
Payments APIService • Postman5 plans • 62 scenariosRunningHourly
Admin DesktopDesktop • TestNG3 plans • 24 scenariosPassedWeekly Mon 06:00
Public SiteWeb • AI Agent2 plans • 18 scenariosAbortedNot scheduled
AutoRunner

Open the "Checkout Web" project from the AutoRunner projects list.

The overview loads, pass rate, active runs, plan health. Go to Test Plans.

Every plan, its health and its run profile. Run the regression suite.

Pick a saved run profile, Chrome Regression.

Confirm its targets: Chrome 121, Desktop 1920x1080.

The plan is Running. Nobody opened a browser to do it.

Follow it into Test Runs.

The live run tops the list, streaming: 6 of 24 scenarios, 25%. Open it.

Three scenarios failed, named, with their steps and their video.

2

SmartAPI

Integration Risk Control

Generates API tests from OpenAPI specifications and validates every contract continuously, so a processor or partner changing something upstream becomes a pipeline failure rather than a production incident.

Test generation directly from OpenAPI and Swagger specifications
Continuous contract validation running inside CI/CD
Breaking-change detection at the earliest possible stage
Regulatory validation for PSD2, banking APIs and regulated service integrations
•Contract breaks are found in your pipeline rather than by a partner in production
•API test maintenance stops being manual, because generation follows the spec
•A named owner decides what a breaking change means, rather than the platform resolving it silently
RabbitQA
Checkout Web
Search modules, documents, or tests...⌘ + K
3RQ
SmartAPI
Dashboard
Quick Generation
API Test Generation
API Test Sessions
File Management
Settings

Platform

RabbitQA Dashboard
RabbitQA Board
Provisioning
Integrations
Settings
Support

API Test Generation

Discover endpoints, design tests with AI and generate automation assets.

Total Sessions

24

Endpoints Discovered

412

Generated Tests

186

AutoRunner Transfers

9

API Test Generation

Discover endpoints, design tests with AI and generate automation assets

Open workflow

Quick Generation

Upload a source, add a prompt and generate API tests in minutes

Start quick generation

API Test Sessions

Review service maps, generated assets and AutoRunner references

View sessions

Session Status Distribution

Draft6
Discovery Completed5
Design Completed4
Generated6
Transferred3

Most Used Input Types

Swagger / OpenAPI11
Postman Collection6
HAR File4
cURL3
SmartAPI

Open the API Test Generation workflow from the SmartAPI dashboard.

Pick an API source and scope the discovery in plain English.

SmartAPI parses the spec and walks every endpoint.

48 endpoints across 14 services, mapped, nobody read the spec by hand.

Take all 48 discovered endpoints into the suite designer.

Design the suite from a Smoke template, then generate it.

9 test cases, 13 requests, 32 assertions, 78% coverage. Generated.

Ship the collection straight into an AutoRunner project.

Transferred: the API suite runs on the same automation as everything else.

3

HealthCheck

Production Health Monitoring

Stays on after the release, watching live system behaviour and surfacing incident trends before they become escalations. Because it reads from the same record as everything upstream, an incident traces back to the requirement that caused it.

Real-time production health monitoring with system status visibility
Proactive failure detection with automated alerting before customer impact
Incident trend analytics identifying recurring failure patterns rather than isolated events
Post-release quality governance across production environments
•Failure detection shifts from customers to engineering, which protects both revenue and trust
•Mean time to recovery falls, because anomaly detection arrives with incident context attached
•A production symptom traces back to the requirement that caused it, rather than starting a new investigation
RabbitQA
Checkout Web
Search modules, documents, or tests...⌘ + K
3RQ
Healthcheck
Overview
Comparison
Targets
Reports
Monitoring
System Check

Platform

RabbitQA Dashboard
RabbitQA Board
Provisioning
Integrations
Settings
Support

HealthCheck

System · Security · Business — one health platform

https://internetbanking.rabbitqa.com
Run Full Check
Platform HealthRun a full check to see your unified System · Security · Business score.
System CheckMonitoring active

Continuous uptime, incident and SLO monitoring — no on-demand scan needed.

Open dashboard
Security CheckOWASP mapped

Not run yet.

Details
Business CheckReadiness score

Not run yet.

Details
Healthcheck

One address in. Run Full Check scans security and business readiness in a single pass.

Scanning security posture and business readiness…

Security: B, 84/100, mapped to OWASP. Critical 0, High 2.

Business readiness: C, 78/100, scored on the same run.

Platform Health: B, 81/100. The Security and Business average, on one tile.

System needs no scan: uptime, incidents and SLOs are monitored continuously.

Every site you watch, graded. Pick one and the hero switches to it.

Measurable outcomes

Business Impact

The results Technical Agents drives for enterprise delivery teams.

0-60%

Faster Regression

0-35%

Shorter Release Cycles

0-40%

Less Incident Escalation

What This Means for Your Business

  • Faster releases with lower operational risk
  • Predictable CI/CD throughput
  • Reduced production incident exposure
  • Stronger executive confidence in delivery
Automation should accelerate delivery, not block it.

Right fit

Built For

Technical Agents is the right fit if you recognize any of these.

CI/CD-heavy engineering organizations
API-first microservice architectures
High-availability enterprise platforms
Industries with strict uptime & risk requirements
Regression blocking sprint velocity
API changes breaking integrations in production
Production incidents discovered by customers first
Compliance requiring continuous quality evidence

One governed lifecycle

Why a red run means something here

A failure is only useful if you know what it was proving. This scenario traces back through a test set a QA lead signed off, to a requirement a product owner approved. The agent surfaces the failure; an engineer decides whether it blocks. Nothing is promoted to regression because a machine was confident.

Ideation

Business Agent

On behalf of Product Manager / Owner / Business Analyst

Analyzes requirements, detects gaps & risks, generates PBIs

SmartRequestAnalyzerSmartPBI

Planning

Planning Agent

On behalf of QA Team / Lead Tester

Auto-generates test cases, manages test plans, prepares test data

CaseWriterTestPilotDataCrate

Execution

Technical Agent

On behalf of Test Automation / QA Engineer / System Engineer

Runs tests, validates APIs, monitors production health in real-time

AutoRunnerSmartAPIHealthCheck
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Stop Letting Automation Slow You Down.

Talk to a RabbitQA specialist and see how Technical Agent integrates with your existing CI/CD pipeline, test frameworks, and production monitoring stack.

Contact us

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Akbank AG
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