Arlington, Va. – September 19, 2026 -- Visual Studio IntelliCode leads the 2026 AI Code Generation Emotional Footprint Report from Info-Tech Research Group with a Net Emotional Footprint (NEF) score of +95, the highest among six vendors recognized for user trust and satisfaction in the category.
Six vendors earn Champion status based on verified user feedback
Info-Tech Research Group, drawing on data from its SoftwareReviews platform, ranked GitHub Platform second at +94 NEF for efficient performance, tied with Amazon Q Developer, which scored +94 NEF for unique features. ChatGPT and Bito AI each posted +93 NEF, recognized respectively for continually improving features and caring customer service. Replit AI rounded out the list at +92 NEF for reliable performance.
Report methodology aggregates 25 sentiment questions into a single composite score
The Emotional Footprint measures high-level user sentiment by aggregating responses across 25 questions to produce the NEF, a composite indicator of overall emotional tone toward a vendor and product. Info-Tech's SoftwareReviews platform sources this data from IT professionals with direct experience across procurement, implementation, and maintenance of the tools.
Enterprise investment in AI coding tools accelerates amid delivery pressure
Enterprise spending on AI code generation solutions is rising as development teams push to shorten development cycles and maintain code quality against growing delivery demands, according to the report. These tools apply machine learning and large language models to translate requirements into functional code, offer in-editor guidance, explain unfamiliar code, and support developers across multiple languages and frameworks.
Many platforms in the category now also provide code modernization, vulnerability detection, and compliance with organizational standards, extending their role beyond basic code completion into broader development governance.
Research director says tool value hinges on meeting developers' practical needs
Thomas Randall, Research Director at Info-Tech Research Group, said AI code generation tools are reshaping everyday coding tasks, but their long-term value depends on how well they address developers' practical needs, allowing teams to reduce repetitive work and focus more time on complex business challenges.