browse: web playground/notebook: latitude storage: github > feed to mcp-playbook key: vault ~ dev
planner consultant qa/data/sec
-
llm as a generator vector comparison // similarity search
-
dev cost --> 0
dev --> planner how to be a good planner?
- how to work with llm effectively problem understanding problem solution planning
??.
problem understanding
goal:
brief ------- -----> system overview (modeling/arch)
?? context understanding
Qs/steps de xac dinh van de?
from given facts --> --> problem
manual see the thing read docs try app look at db schema
docs ~ deepwiki chat with docs ask qs > questions to ask? > ??
feed facts, artifacts, ... to LLM chat with llm > questions to ask?
- new sdlc workflow why new workflow? (indie) effectively/efficient way(example) to code with llm (team) chuan hoa documentation/workflow persist project artifact/tribal knowledge => build up project context
how (context) brief system design feature design+modeling (prd) + (test)
(impl) (adr; changelog) (test report)
- setup+configuration config ide rule config project rule
Here's our findouts using LLM in programming.
steps
choose an agent & model config ide rule config mcp config project rule config mcp for remote resources
