Frequently Asked Questions
& Trust Center

FAQ

1. How does TechDebtGPT integrate into our existing developer workflow?

TechDebtGPT integrates directly into your current tools, like GitHub, GitLab, Bitbucket, Azure DevOps, and Jira , ensuring zero disruption. It works passively in the background, turning everyday activity into actionable insights without adding overhead.

2. Can TechDebtGPT help us track and reduce technical debt proactively?

Yes. Our AI continuously analyzes pull requests, highlighting those likely to introduce technical debt. It also identifies hotspots and suggests targeted improvements, turning debt management from reactive firefighting into proactive planning

3. How is the Team Contribution Score (TCS) calculated, and can it be customized?

TCS combines multiple dimensions, PR quality, testing, delivery efficiency, tech debt impact, and functional value, into a holistic performance metric. Teams can easily adjust weights to match their priorities, aligning measurement with organizational goals.

4. Is this tool more suitable for engineering managers or individual developers?

Both. Engineering managers gain clear visibility into team health, productivity, and bottlenecks. Developers benefit from personalized feedback, transparent scoring, and actionable insights, promoting individual growth.

5. Does TechDebtGPT require a dedicated team member or substantial maintenance to manage it after integration?

No ongoing maintenance is required- TechDebtGPT operates autonomously. Once connected to your existing systems, it continuously generates and refines insights without additional manual oversight, freeing up your team to focus fully on development work.

6. Will this add extra pressure or micromanagement concerns for my team?

On the contrary- TechDebtGPT promotes transparency and self-improvement rather than surveillance. The insights empower teams and individuals with actionable feedback, fostering autonomy, trust, and growth rather than micromanagement.

7. Can we see historical trends in team performance and productivity?

Absolutely. TechDebtGPT’s built-in Team Health Radar visualizes historical data, revealing trends in code quality, review efficiency, estimation accuracy, and more - helping teams continuously improve with clear benchmarks and insights.

8. What types of anomalies can TechDebtGPT detect in pull requests?

TechDebtGPT identifies PR anomalies like stalled reviews, excessive commenting cycles, unexpected complexity spikes, unusually high technical debt risk, and low testing coverage, allowing proactive intervention before code hits production.

9. How long does it take TechDebtGPT to deliver meaningful insights after integration?

While immediate insights are available right after integration, deeper, more contextual insights typically develop over 1- 2 sprint cycles, as the AI engine learns your unique team patterns, coding styles, and workflow nuances.

10. Is TechDebtGPT only useful for software teams with large codebases and big teams?

Not at all. TechDebtGPT provides immediate value for teams of any size. Smaller teams gain early insights into tech debt and team health, setting them up for future scalability, while larger teams get clarity on complexity, communication patterns, and overall efficiency.

‍

TechDebtGPT Trust Center

TechDebtGPT is designed from the ground up with security, privacy, and transparency at its core. Our Trust Center outlines clearly how we safeguard your data, ensure compliance, and build trust through transparency.

Security Overview

Data Encryption

• At Rest: All stored data is encrypted using industry-leading AES-256 encryption standards.
• In Transit: Data transfers are secured via TLS 1.2+ encryption protocols to guarantee end-to-end secuity

Data Encryption

• TechDebtGPT utilizes a multi-tenant architecture by default, with strict data isolation and logical partitioning measures to ensure your data is protected from unauthorized access.

• Each customer’s data is logically segregated, ensuring strong isolation and security across all tenant environments.

• Regular security assessments and penetration tests are conducted to ensure continuous compliance and protection

Data Privacy & Compliance

Data Privacy

• You retain complete ownership and control of your data. TechDebtGPT accesses your source code and project data strictly for real-time analysis, never permanently storing original code.

• Data processed into vectorized form for analytics is anonymized to protect developer privacy.

Compliance

• TechDebtGPT strictly adheres to internationally recognized privacy standards such as:
  
  • GDPR (General Data Protection Regulation)
  • CCPA (California Consumer Privacy Act)

• Our compliance program continuously monitors evolving regulations, ensuring ongoing alignment with global privacy standards.

Access Control & Authentication

Strict Access Management

• TechDebtGPT uses industry-standard OAuth 2.0 protocols for authentication and authorization.

• Access to your repositories and boards is scoped specifically by your team’s permissions within your Git providers and project management systems.

User Permissions

• Granular control allows administrators to define precisely who has access to insights withinTechDebtGPT. Access can be quickly adjusted or revoked as needed.

AI & LLM Security and Privacy

TechDebtGPT leverages advanced Large Language Models (LLMs) from trusted providers, such as Anthropic, OpenAI, and others, to enhance analysis accuracy and deliver valuable developer insights. We understand that using AI to analyze sensitive development data requires rigorous privacy controls, and we've implemented comprehensive security measures accordingly.

Secure Data Handling

• Transient Processing Only: Code snippets sent to LLMs are analyzed temporarily, strictly for the purpose of generating real-time insights. Original code snippets are never stored or retained after analysis.

• Anonymization of Data: Before analysis by any LLM, your code and metadata undergo anonymization and sanitization processes. This ensures sensitive information, personal identifiers, and intellectual property remain confidential.

• Explicit Compliance and Agreements: Our agreements with LLM providers ensure that your data is neither retained nor used to train or improve external AI models without explicit consent from your organization.

Incident Response & Transparency

Proactive Monitoring & Alerts

• Real-time monitoring and anomaly detection systems immediately flag suspicious activities.
• Automated alerts notify our security team and the designated administrators instantly if an issue arises.

Incident Handling & Transparency

• In case of security incidents, our policy is full transparency. We notify impacted users immediately and provide clear, timely updates throughout resolution.

Operational Security

Secure Development Practices

• TechDebtGPT follows secure coding practices aligned with OWASP guidelines. Regular security training ensures our engineering teams stay up-to-date with the latest security threats and mitigation strategies.

• Automated alerts notify our security team and the designated administrators instantly if an issue arises.

Reporting Security Issues

We take security seriously. If you discover any potential vulnerabilities or security concerns, please contact us immediately at:

info@techdebtgpt.com

‍

We commit to responding swiftly and transparently to all reports.