2.0 KiB
2.0 KiB
title, weight, tags
| title | weight | tags | ||
|---|---|---|---|---|
| Works on my LLM: Building your own ai code assistant that isn't completely useless | 2 |
|
Build or improvde your own ai coding agent (well mostly improve).
Baseline
- AI enables us to produce usless code 10x faster
- Problem: Traditional vibe coding is just a short instruction "build me a web app"
- Solution: Context Engineering to support the next step with the right information
- Agent has Multiple Parts: LLM, Context Window, External Context (files), MCP
Set up the bootloader
- Rule-File: Coding style, conventions, best practives -> "always do this"
- Workflows: Helpers like scripts, etc
- e.g.: Gather Requirements -> Clarify -> Create specification
- Can be wirtten in normal english and maybe annotated using agent-specific tags
Load domain specific knowledge
- Useful: Add questions regarding approach/architecture to your workflows
- This is where mcp servers can come in
- Challenge: Picking the right and right amount of information to provide to the agent
Micro context strategy
- Problem: Monolythic context that can be filled up and even trunkated
- Idea: Split into multiple smaller contexts that will be combined before sending to the ai
- Implementation: Save the context into different files and chunk the results into files
- Pro: Can be used for statless interaction
State Managmeent
- Memory Bank: Always keep updated documents with summaries for the implementation task
- The rabit hole problem: Trying workaround after workaround resulting in a full context with useless non-working workaround
- Checkpoint Restoration: Create checkpoints and recreate contexts from them instead of trying to force the ai back on track