Why Rescue My Code?
About
We work with founders and product leaders to uncover what’s working, fix what’s not, and lead critical software projects to success.
Whether your codebase is old and clunky, completely broken, or being held hostage by a ghosted dev team, we can help. We’ve seen it all: vanished source code, dead-end dev teams, off-the-rails MVPs, security risks hiding in outdated frameworks. There’s no problem too big or too small for us to handle—from fast patches to second opinions and even a full leadership reboot.
Our Guarantee
Your time and resources will always be our top priority
Our Team
Meet the Rescuers
Dave Jimison is a technologist with over two decades of experience transforming broken systems into high-performing platforms. As cofounder of Rescue My Code, Dave helps clients—from overwhelmed startups to established SMBs—stabilize, modernize, and future-proof their most critical software.
His recent work includes building AI-powered scheduling systems at Xembly, delivering full-stack AI integrations at AE Studio, and modernizing ad tech platforms at Dotdash Meredith. Earlier in his career, Dave helped pioneer digital experiences for major brands: Spotify's first Year in Review, MTV's first recommendation engine, and Vice's first mobile app.
Dave holds a Ph.D. in Digital Media from Georgia Tech. Whether he's rewriting a tangled codebase or advising on AI architecture, he's driven by a single mission: make old code work like new—and make new code last.
Scott Johnson has spent over 15 years turning chaotic code into systems that actually work. As cofounder of Rescue My Code, he specializes in helping startups and growth-stage companies rescue critical codebases, improve system architecture, and unlock engineering velocity.
Scott also serves as Founder-in-Residence at the Allen Institute for AI (AI2), where he advises early-stage AI companies on technical strategy and scaling with large language models.
Previously, Scott was a founding engineer at Xembly, where he led development of their AI assistant platform from the ground up, architecting multi-agent scheduling systems for thousands of enterprise companies. Earlier in his career, he worked at Apple on AI voice research for Siri and helped modernize legacy systems at scale.
Scott brings a pragmatic, collaborative approach to every project. He’s passionate about helping companies build systems that scale, products that users love, and codebases that engineers can confidently grow.
