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Development notes.
Practical notes on AI coding workflows, project configuration, and problem analysis, with examples, applicable conditions, and lessons from development.
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1–8 of 8 posts
ConuoAI learningProduct developmentConuo: source reading, AI questions, and study notes in one workspace
How Conuo connects source-scoped questions, citation checks, PDF region study, notes, and human-reviewed knowledge drafts.
7 min read
DSH Session ConductorAI codingPlugin developmentAfter delegating to AI, how does the result return to the original conversation?
Building and using DSH Session Conductor: create tasks in native chat, preserve their origins, read progress, and return the first delegated turn to its creation card.
9 min read
AIWorkflowsKnowledge managementStructured thinking: make the task clear
Use a customer feedback example to organize information, write rules, and check the result. Then save the method as a reusable knowledge base note.
7 min read
AI CodingClaude CodePracticeAI coding: context, verification, and cost
Practical approaches to preparing context, choosing models, verifying results, and checking usage in everyday development.
5 min read
AI CodingCodexCode ReviewAI coding workflow: implementation, review, and decisions
Organize code fixes and verification through implementation, independent review, impact analysis, and human decisions.
5 min read
Claude CodeCLAUDE.mdConfigurationConfiguring CLAUDE.md: global conventions and project rules
Use an existing configuration to organize global conventions, project commands, compatibility requirements, and rules loaded when needed.
4 min read
FDECareerAI EngineeringUnderstanding the forward deployed engineer role
Notes on requirements, system integration, and evaluation in forward deployed engineering, with connections to software development and deployment projects.
3 min read
