Source code abstracted into behavioral models
AI Powered & Optimized Solution
We’ve developed an innovative artificial intelligence-powered platform to review and enhance our team’s work. We call it Novel Heat.
How hard is your code working for you?
Problem
Software is typically built by teams located all over the world. With technology becoming more and more complicated, reviewing underlying source code has become much more difficult. Static code analyzers – the traditional tool for reviews – can’t tackle all the things that can go wrong like anti-patterns and malicious defects.
Solution
We’re working on an innovative Artificial Intelligence tool, Novel Heat, that can go beyond the capabilities of static code analyzers by understanding underlying code behavior and structure. Line by line, it continues to learn and improve with each iteration. Better yet, Novel Heat takes what it’s learned to alert team members when something’s slowing the process and helps them to correct code issues and adjust moving forward.
How It Works
Each time your team refactors code, it’s tagged by a senior member of your team. This informs Novel Heat of your preferences and enables it to monitor and note these patterns of behavior. Novel Heat also provides ongoing reporting to select team members and leadership to help everyone stay on the same page and make proactive decisions.
Do you have any questions?
Anti-patterns and vulnerabilities reported
Refactored code analyzed
Machine learning-driven knowledge base updated
Ongoing reporting for business decision-making
Outcomes
Novel Heat represents our commitment to continuous improvement, a primary tenant of our company culture.
Enhanced Quality
Our learning system uses anti-pattern detection to catch tricky defects and prevent unintended behavior from reaching production systems. Your standard static text analyzer won’t do that.
Simplified Workflow
Code reviews are initiated by a common git repository commit. Novel Heat notifies the team in real-time as defects are uncovered.
Increased Velocity
Keeping a clean codebase and learning from previous refactoring will push your Scrum teams to a higher level of velocity than normally possible.
Earlier Insights
Granular, real-time management dashboards help keep all stakeholders informed about productivity, code quality, and the occurrence of anomalies. This informs and allows business decisions.
Customer Success
