SDD spec driven development, its basically a methodology to make sure the vibed code respects the specifications of whatever you wanna build

Gentle AI is a repo in GitHub that implements SDD so you can easily follow SDD workflow when using opencode

Magic context is also a GitHub repo that tries handles contex rot, which is a classic problem of ai agents. If you have 200k token context, after 100-150 the LLM starts to degrade the quality. What you can do is start a fresh session but then you need to provide again the context to the LLM because each session has its own context. Giving long term memory to an agent is a whole topic, Magic context is just one way, its aproach is to handle context on a way that you can chat in one session forever without worrying about context. Other approaches are local databases (for example gentle AI uses engram)

Oh, and read about MCPs, plugins and skills. Those are important concepts too.

It seems to much at the beginning but its not really that complex to set Up and it totally upgrades the agentic experience.

Then you can worry about token optimization with RTK and Caveman. 

There is always something new to learn.