Learn
Open the Learning Hub, choose a module, and work through tutorials at your pace. When you want to publish, submit a tutorial or guide for author credit.
Every contribution documented: for interviews, applications, and portfolios.
Come as you are: #anacodic-ai is where we share tutorials, open roles, research updates, and project news. Follow along until something pulls you in.
Join Slack →Three ways to contribute — curriculum depth (Learn), faculty-advised papers (Research), or shipping on a production team (Projects). Pick the door that matches how you want to grow; Step 3 is your first concrete action on that track.
Go deep in public: work through the curriculum and ship tutorials or modules with your byline when they land.
Enter a faculty-backed research thread with Faculty & Advisors (BU). Run experiments, write sections, and earn co-authorship. Recommendation-eligible. Publish at ACM · IEEE · Frontiers · Springer.
Join a small team on a production system. Projects are led by engineers actively working in industry with clear roles, real deadlines, code that stays deployed.
One action per track — not a repeat of Step 2. Open the hub, browse a thread, or apply to a project; do the step for the track you chose above.
Open the Learning Hub, choose a module, and work through tutorials at your pace. When you want to publish, submit a tutorial or guide for author credit.
Browse open research threads on the Research page, pick a thread and role, then follow the instructions there to apply. Faculty-advised; co-authorship when the work earns it.
Scan open projects for a role that fits your stack. Projects are led by engineers actively working in industry — note the deadline, apply, and we'll be in touch.
Getting oriented.
Delivered something real.
Leads a module or track.
Runs a project or track.
Put in the work and the level follows.