Research, practical guides, workforce insights, and field notes documenting how AI and software systems are changing the organizations and careers around us — written for students, working professionals, and the employers, schools, and nonprofits sponsoring them.
Sikeston already has a workforce-development ecosystem connecting the Chamber, schools, SEMO, Three Rivers, and programs like SOAR. AI-agent systems training is a natural next rung on that same ladder.
The next step after writing code is learning how to design systems that make decisions, recover from failures, and explain their behavior under pressure.
The four free courses and the in-person program are the structured path. The Discord is where the learning keeps going every day in between.
Cities and public-interest organizations are starting to ask vendors how AI agents factor into a proposal. Most engineers have never opened an RFP, let alone answered one.
A real RFP gives every technical idea a job: APIs, automation, state, real constraints, debugging, Git history, AI review, and strategy, all at once.
The constraints are not decoration. They are the reason builders learn to model environments, design components, manage state, and make tradeoffs.
AI can help you move faster, but Git keeps the work understandable, recoverable, and ready for real deadlines.