Automate Code Maintenance and Improve Security with Permanence AI
Drastically reduce security backlog and software maintenance burden with Permanence AI.
The Permanence AI Coder™ is a trusted AI solution built for the complexity of public sector systems. It automates repetitive software-engineering tasks across both legacy and modern codebases, accelerating resolution times and delivering safe, tested code improvements with precision and speed. By integrating directly with agency repositories and security tools, it helps teams maintain secure, reliable systems without manual effort.
Improve Security Posture While Reclaiming Engineering Capacity
Security vulnerabilities, technical debt, and outdated code all weaken software integrity and resolving them drains valuable engineering time. Most teams spend over 50% of their capacity on maintenance and security remediation. Research shows 78% of public sector organizations carry significant security debt left unaddressed for more than a year. The AI Coder eases the burden on engineering teams by shifting routine work off their plate and cutting resolution times from months to days or even hours.
Fits into your existing workflows, not the other way around
The AI Coder works in your team’s development environment, testing its own work and generating pull requests for review and approval. It integrates seamlessly into existing DevSecOps pipelines and scales across agencies with minimal disruption. No retraining your staff. No workflow overhauls. Just smarter, faster software maintenance.
Simple setup, fast results
Getting started is easy. Install the Permanence AI GitHub app, grant repository access, and connect your existing security tools like Coverity, Black Duck, or Snyk. The AI Coder then works quietly in the background, submitting trusted code updates your team can review and merge.
Automate the Work That Slows Teams Down
The AI Coder tackles the kinds of software maintenance that drain resources and delay progress. Common use cases include:
- Security vulnerability automation – Detecting, fixing, and validating known security issues
- Code modernization – Updating legacy code to align with current frameworks and best practices
- Code standardization – Enforcing consistent structure and style across large codebases
- Language translation – Converting from outdated or unsupported languages to modern equivalents
Have a complex software challenge that doesn’t fit neatly into one category? Chances are the AI Coder can help. If it's code and it's slowing you down, we should talk.