1. Pick the most complete project boilerplate (fullstack JS can easily introduce security bugs, SPA + API is best as cheap linting solves most problems)
2. Project skills (how to CRUD without mess)
3. Use worktrees for concurrent features, local session for conflicts
4. Local session for QA and refinement
I use Copilot and GPT 5.4
Managed to shorten pre-AI priced ongoing projects to 2 weeks or a month
I am using TS sandboxed in deno for all our agent code generated from a UI builder (inspired by OpenAI's own agent builder, and spits out the same code output)
We have a simple worker setup and temporal is pretty easy to setup
Out only issue is really needing an intermediary data store for task result storage
We are using DBOS in new projects as it's even simpler and the downside (task log interface behind saas) is easily remedied with a copilot generated task viewer
I haven't had much success using LLM's in Unity as there is a lot of work that goes into the editor and cannot be done via code, especially if you are using several different assets
1. Pick the most complete project boilerplate (fullstack JS can easily introduce security bugs, SPA + API is best as cheap linting solves most problems)
2. Project skills (how to CRUD without mess)
3. Use worktrees for concurrent features, local session for conflicts
4. Local session for QA and refinement
I use Copilot and GPT 5.4
Managed to shorten pre-AI priced ongoing projects to 2 weeks or a month