u/farang55555

Classes started June 1st.. I honestly started looking at everything around June 18th.. I have been breezing through so far so good. Intro to IT, Business of IT applications, IT Applications, and IT Foundations are now complete with ITIL 4 and A+ certification under my belt. Looking forward I am looking at Linux Foundations and Network and Security Foundations, Networks, Network and Security Applications, and Azure Fundamentals to come out with LPI, Network +, Security+ and AZ900 certifications.. It seems it will be a very productive first semester indeed :)

Classes started June 1st.. I honestly started looking at everything around June 18th.. I have been breezing through so far so good. Intro to IT, Business of IT applications, IT Applications, and IT Foundations are now complete with ITIL 4 and A+ certification under my belt. Looking forward I am looking at Linux Foundations and Network and Security Foundations, Networks, Network and Security Applications, and Azure Fundamentals to come out with LPI, Network +, Security+ and AZ900 certifications.. It seems it will be a very productive first semester indeed :)

which one do u think best:

Cybersecurity and Information Assurance – B.S.

VIEW DEGREE
Protect your career and earning potential with this degree.

MORE DETAILS
APPLY NOW
Time: 60% of graduates finish within 29 months.
Tuition: $4,410 per 6-month term.
Courses: 34 total courses in this program.
Certifications included in this program at no extra cost include:

Certified Cloud Security Professional (CCSP) - Associate of (ISC)2 designation
Systems Security Certified Practitioner (SSCP) - Associate of (ISC)2 designation
ITIL® Foundation Certification
CompTIA A+
CompTIA Cybersecurity Analyst Certification (CySA+)
CompTIA IT Operations Specialist
CompTIA Network+
CompTIA Network Vulnerability Assessment Professional
CompTIA Network Security Professional
CompTIA PenTest+
CompTIA Project+
CompTIA Secure Infrastructure Specialist
CompTIA Security+
CompTIA Security Analytics Professional
Skills for your résumé that you will learn in this program:

Secure Systems Analysis & Design
Data Management
Web and Cloud Security
Hacking Countermeasures and Techniques
Digital Forensics and Incident Response

\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*

Cisco, Cloud and Network Engineering – B.S.

VIEW DEGREE
This specialization contains a unique focus on Cisco systems and processes

MORE DETAILS
APPLY NOW
In the Cisco specialization, you will learn specific Cisco operating systems and networks, giving you experience with Cisco architecture.

Time: 61% of graduates finish similar programs within 36 months.
Tuition: $3,915 per 6-month term.
Courses: 34 courses in this specialization
This program also includes third-party certifications that will help you boost your résumé and be prepared for career success. Certifications include:

CompTIA A+
Linux Essentials - LPI
ITIL (Information Technology Infrastructure Library)
CCNA (Cisco Certified Network Associate)
Cisco Certified Cybersecurity Associate (CyberOps)
Cisco DevNet (CCNA-Automation)
CompTIA Cloud+
WGU Certified Network Technician Badge

\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*

Azure, Cloud and Network Engineering – B.S.

VIEW DEGREE
In this specialization you will focus on Azure systems, processes, and tools

MORE DETAILS
APPLY NOW
With the Azure specialization you will gain knowledge and skills that will help you as you progress in your career.

Time: 61% of graduates finish similar programs within 36 months.
Tuition: $3,915 per 6-month term.
Courses: 34 courses in this specialization
This program also includes third-party certifications that will help you boost your résumé and be prepared for career success. Certifications include:

CompTIA A+
Linux Essentials - LPI
ITIL (Information Technology Infrastructure Library)
Network+
Security+
Azure Fundamentals
Azure Cloud Platform Solutions
Azure Solutions Architecture
CIOS - IT Operations Specialist (A+ and Net+)
CSIS - Secure Infrastructure Specialist (A+, Net+, and Sec+)

which one do u think best:

Cybersecurity and Information Assurance – B.S.

VIEW DEGREE
Protect your career and earning potential with this degree.

MORE DETAILS
APPLY NOW
Time: 60% of graduates finish within 29 months.
Tuition: $4,410 per 6-month term.
Courses: 34 total courses in this program.
Certifications included in this program at no extra cost include:

Certified Cloud Security Professional (CCSP) - Associate of (ISC)2 designation
Systems Security Certified Practitioner (SSCP) - Associate of (ISC)2 designation
ITIL® Foundation Certification
CompTIA A+
CompTIA Cybersecurity Analyst Certification (CySA+)
CompTIA IT Operations Specialist
CompTIA Network+
CompTIA Network Vulnerability Assessment Professional
CompTIA Network Security Professional
CompTIA PenTest+
CompTIA Project+
CompTIA Secure Infrastructure Specialist
CompTIA Security+
CompTIA Security Analytics Professional
Skills for your résumé that you will learn in this program:

Secure Systems Analysis & Design
Data Management
Web and Cloud Security
Hacking Countermeasures and Techniques
Digital Forensics and Incident Response

****************

Cisco, Cloud and Network Engineering – B.S.

VIEW DEGREE
This specialization contains a unique focus on Cisco systems and processes

MORE DETAILS
APPLY NOW
In the Cisco specialization, you will learn specific Cisco operating systems and networks, giving you experience with Cisco architecture.

Time: 61% of graduates finish similar programs within 36 months.
Tuition: $3,915 per 6-month term.
Courses: 34 courses in this specialization
This program also includes third-party certifications that will help you boost your résumé and be prepared for career success. Certifications include:

CompTIA A+
Linux Essentials - LPI
ITIL (Information Technology Infrastructure Library)
CCNA (Cisco Certified Network Associate)
Cisco Certified Cybersecurity Associate (CyberOps)
Cisco DevNet (CCNA-Automation)
CompTIA Cloud+
WGU Certified Network Technician Badge

*****************

Azure, Cloud and Network Engineering – B.S.

VIEW DEGREE
In this specialization you will focus on Azure systems, processes, and tools

MORE DETAILS
APPLY NOW
With the Azure specialization you will gain knowledge and skills that will help you as you progress in your career.

Time: 61% of graduates finish similar programs within 36 months.
Tuition: $3,915 per 6-month term.
Courses: 34 courses in this specialization
This program also includes third-party certifications that will help you boost your résumé and be prepared for career success. Certifications include:

CompTIA A+
Linux Essentials - LPI
ITIL (Information Technology Infrastructure Library)
Network+
Security+
Azure Fundamentals
Azure Cloud Platform Solutions
Azure Solutions Architecture
CIOS - IT Operations Specialist (A+ and Net+)
CSIS - Secure Infrastructure Specialist (A+, Net+, and Sec+)

which one do u think best:

Cybersecurity and Information Assurance – B.S.

VIEW DEGREE
Protect your career and earning potential with this degree.

MORE DETAILS
APPLY NOW
Time: 60% of graduates finish within 29 months.
Tuition: $4,410 per 6-month term.
Courses: 34 total courses in this program.
Certifications included in this program at no extra cost include:

Certified Cloud Security Professional (CCSP) - Associate of (ISC)2 designation
Systems Security Certified Practitioner (SSCP) - Associate of (ISC)2 designation
ITIL® Foundation Certification
CompTIA A+
CompTIA Cybersecurity Analyst Certification (CySA+)
CompTIA IT Operations Specialist
CompTIA Network+
CompTIA Network Vulnerability Assessment Professional
CompTIA Network Security Professional
CompTIA PenTest+
CompTIA Project+
CompTIA Secure Infrastructure Specialist
CompTIA Security+
CompTIA Security Analytics Professional
Skills for your résumé that you will learn in this program:

Secure Systems Analysis & Design
Data Management
Web and Cloud Security
Hacking Countermeasures and Techniques
Digital Forensics and Incident Response

****************

Cisco, Cloud and Network Engineering – B.S.

VIEW DEGREE
This specialization contains a unique focus on Cisco systems and processes

MORE DETAILS
APPLY NOW
In the Cisco specialization, you will learn specific Cisco operating systems and networks, giving you experience with Cisco architecture.

Time: 61% of graduates finish similar programs within 36 months.
Tuition: $3,915 per 6-month term.
Courses: 34 courses in this specialization
This program also includes third-party certifications that will help you boost your résumé and be prepared for career success. Certifications include:

CompTIA A+
Linux Essentials - LPI
ITIL (Information Technology Infrastructure Library)
CCNA (Cisco Certified Network Associate)
Cisco Certified Cybersecurity Associate (CyberOps)
Cisco DevNet (CCNA-Automation)
CompTIA Cloud+
WGU Certified Network Technician Badge

*****************

Azure, Cloud and Network Engineering – B.S.

VIEW DEGREE
In this specialization you will focus on Azure systems, processes, and tools

MORE DETAILS
APPLY NOW
With the Azure specialization you will gain knowledge and skills that will help you as you progress in your career.

Time: 61% of graduates finish similar programs within 36 months.
Tuition: $3,915 per 6-month term.
Courses: 34 courses in this specialization
This program also includes third-party certifications that will help you boost your résumé and be prepared for career success. Certifications include:

CompTIA A+
Linux Essentials - LPI
ITIL (Information Technology Infrastructure Library)
Network+
Security+
Azure Fundamentals
Azure Cloud Platform Solutions
Azure Solutions Architecture
CIOS - IT Operations Specialist (A+ and Net+)
CSIS - Secure Infrastructure Specialist (A+, Net+, and Sec+)

I’m looking for practical feedback from people who work in AI evals, QA, software testing, AppSec, DevSecOps, or model-risk review.

The problem I’m trying to understand:

AI coding tools often produce patches that pass the visible project tests, and the workflow quietly turns that into “the bug is fixed.” But if the tests are weak, flaky, or incomplete, that claim may be too strong.

I’m experimenting with a local audit approach that does not generate code and does not prove correctness. It only checks whether the evidence supports the claimed repair verdict.

Example verdict behavior:

- tests pass but no held-out validation -> weak-gated

- tests pass but held-out validation fails -> overfit / gate-incomplete

- environment cannot reproduce -> harness-failed

- available search/operator space cannot express the fix -> unsolved, not forced into a win

- human diff review missing -> manual-review-required

I’m not asking anyone to upload code or try a tool. I’m trying to understand the workflow problem.

Questions:

1. In your team, who owns the claim “this AI-generated patch is actually fixed”?

2. Do you distinguish “tests passed” from “repair claim is supported”?

3. Would an audit report that downgrades overclaimed repair verdicts be useful, or would it just add friction?

4. What evidence would you require before accepting a claim like “fixed”?

5. If this is not useful, why not?

I’m especially interested in blunt negatives from QA, eval, AppSec, and regulated-software people.

I’m looking for practical feedback from people who work in AI evals, QA, software testing, AppSec, DevSecOps, or model-risk review.

The problem I’m trying to understand:

AI coding tools often produce patches that pass the visible project tests, and the workflow quietly turns that into “the bug is fixed.” But if the tests are weak, flaky, or incomplete, that claim may be too strong.

I’m experimenting with a local audit approach that does not generate code and does not prove correctness. It only checks whether the evidence supports the claimed repair verdict.

Example verdict behavior:

- tests pass but no held-out validation -> weak-gated

- tests pass but held-out validation fails -> overfit / gate-incomplete

- environment cannot reproduce -> harness-failed

- available search/operator space cannot express the fix -> unsolved, not forced into a win

- human diff review missing -> manual-review-required

I’m not asking anyone to upload code or try a tool. I’m trying to understand the workflow problem.

Questions:

1. In your team, who owns the claim “this AI-generated patch is actually fixed”?

2. Do you distinguish “tests passed” from “repair claim is supported”?

3. Would an audit report that downgrades overclaimed repair verdicts be useful, or would it just add friction?

4. What evidence would you require before accepting a claim like “fixed”?

5. If this is not useful, why not?

I’m especially interested in blunt negatives from QA, eval, AppSec, and regulated-software people.

I’m looking for practical feedback from people who work in AI evals, QA, software testing, AppSec, DevSecOps, or model-risk review.

The problem I’m trying to understand:

AI coding tools often produce patches that pass the visible project tests, and the workflow quietly turns that into “the bug is fixed.” But if the tests are weak, flaky, or incomplete, that claim may be too strong.

I’m experimenting with a local audit approach that does not generate code and does not prove correctness. It only checks whether the evidence supports the claimed repair verdict.

Example verdict behavior:

- tests pass but no held-out validation -> weak-gated

- tests pass but held-out validation fails -> overfit / gate-incomplete

- environment cannot reproduce -> harness-failed

- available search/operator space cannot express the fix -> unsolved, not forced into a win

- human diff review missing -> manual-review-required

I’m not asking anyone to upload code or try a tool. I’m trying to understand the workflow problem.

Questions:

1. In your team, who owns the claim “this AI-generated patch is actually fixed”?

2. Do you distinguish “tests passed” from “repair claim is supported”?

3. Would an audit report that downgrades overclaimed repair verdicts be useful, or would it just add friction?

4. What evidence would you require before accepting a claim like “fixed”?

5. If this is not useful, why not?

I’m especially interested in blunt negatives from QA, eval, AppSec, and regulated-software people.

I’m looking for practical feedback from people who work in AI evals, QA, software testing, AppSec, DevSecOps, or model-risk review.

The problem I’m trying to understand:

AI coding tools often produce patches that pass the visible project tests, and the workflow quietly turns that into “the bug is fixed.” But if the tests are weak, flaky, or incomplete, that claim may be too strong.

I’m experimenting with a local audit approach that does not generate code and does not prove correctness. It only checks whether the evidence supports the claimed repair verdict.

Example verdict behavior:

- tests pass but no held-out validation -> weak-gated

- tests pass but held-out validation fails -> overfit / gate-incomplete

- environment cannot reproduce -> harness-failed

- available search/operator space cannot express the fix -> unsolved, not forced into a win

- human diff review missing -> manual-review-required

I’m not asking anyone to upload code or try a tool. I’m trying to understand the workflow problem.

Questions:

1. In your team, who owns the claim “this AI-generated patch is actually fixed”?

2. Do you distinguish “tests passed” from “repair claim is supported”?

3. Would an audit report that downgrades overclaimed repair verdicts be useful, or would it just add friction?

4. What evidence would you require before accepting a claim like “fixed”?

5. If this is not useful, why not?

I’m especially interested in blunt negatives from QA, eval, AppSec, and regulated-software people.

I’m looking for practical feedback from people who work in AI evals, QA, software testing, AppSec, DevSecOps, or model-risk review.

The problem I’m trying to understand:

AI coding tools often produce patches that pass the visible project tests, and the workflow quietly turns that into “the bug is fixed.” But if the tests are weak, flaky, or incomplete, that claim may be too strong.

I’m experimenting with a local audit approach that does not generate code and does not prove correctness. It only checks whether the evidence supports the claimed repair verdict.

Example verdict behavior:

- tests pass but no held-out validation -> weak-gated

- tests pass but held-out validation fails -> overfit / gate-incomplete

- environment cannot reproduce -> harness-failed

- available search/operator space cannot express the fix -> unsolved, not forced into a win

- human diff review missing -> manual-review-required

I’m not asking anyone to upload code or try a tool. I’m trying to understand the workflow problem.

Questions:

1. In your team, who owns the claim “this AI-generated patch is actually fixed”?

2. Do you distinguish “tests passed” from “repair claim is supported”?

3. Would an audit report that downgrades overclaimed repair verdicts be useful, or would it just add friction?

4. What evidence would you require before accepting a claim like “fixed”?

5. If this is not useful, why not?

I’m especially interested in blunt negatives from QA, eval, AppSec, and regulated-software people.