Multi-Agent Development Workflow
Coordinate AI-assisted work through explicit task handoffs, isolated working copies, and human-controlled integration.
These projects are a combination of study and research tools, resume tailoring, crop-yield prediction, and statistical research. Some I just developed to test out new methods of AI-native coding and help with my PhD studies. Open a project to learn more about its purpose and development progress, along with GitHub links.
Coordinate AI-assisted work through explicit task handoffs, isolated working copies, and human-controlled integration.
Tailor a resume from a maintained record of experience, preserving fixed details and saving checks alongside each application.
A study workspace connecting handwritten notes, textbooks, source-linked answers, and reviewed study materials.
Find relevant papers, make their contents searchable, and look across them alongside personal research notes.
Detect patterns in how data depart from a bell-shaped distribution, and compare the proposed test with Shapiro–Wilk in small-sample simulations.
Compare satellite data, field records, and prediction models to investigate which wheat varieties may perform well where trials are limited.