Proxy tool keeps AI coding context beyond 20 turns
Reported by Dev.to LLM: Built a proxy, so my AI coding sessions stop forgetting everything after 20 turns. Analysis and context written by TickrWire.
A developer built a proxy that preserves the conversation history for Claude and GPT coding assistants, preventing loss after roughly 20 exchanges.
- AI coding assistants lose context after ~20 turns due to token limits.
- A proxy can cache and replay conversation history to extend usable context.
- The tool is open‑source and easy to add to existing development pipelines.
AI coding assistants such as Claude and GPT have a limited context window, causing them to forget earlier parts of a conversation after about 20 turns. The author created a lightweight proxy that intercepts API calls, stores the full dialogue, and re‑injects prior context on each request, effectively bypassing the built‑in limit.
The proxy works by caching prompts and responses locally, then concatenating the relevant history before forwarding the request to the model. This approach lets developers continue complex coding sessions without repeatedly restating earlier code or explanations.
The solution is open‑source and can be integrated into existing development workflows with minimal configuration. It demonstrates a practical workaround for token‑limit constraints that many developers face when using large language models for code generation.
Helps maintain continuity in long AI‑assisted coding sessions.
Reduces time spent re‑entering code context, improving developer productivity.
Enables smoother interaction with AI code helpers.
- proxy
- A server that sits between a client and an API, modifying or caching requests and responses.
- context window
- The maximum amount of text (tokens) a language model can consider at once.
- token limit
- The cap on the number of tokens a model can process in a single request.
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