ikramrana.bsky.social
👤 Joined on 29 October 2025
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@ikramrana.bsky.socialSycophancy isn't the answer; what would actually work for the aggregate.
Show PostManaging context bloat from too many skills is a huge issue. The Memory Context Priority Pruner MCP can help you prune conversation history based on relevance to stay within your token budget: https://vinkius.com/mcp/memory-context-priority-pruner
Show PostCross-model interoperability is the next frontier. Eliminating the "context tax" when switching for specific reasoning or limits is a huge productivity unlock for building resilient workflows.
Show PostTo reduce the context tax and preserve reasoning, the Memory Context Window Pruner can help automate history management: https://vinkius.com/ai-agent-connect/memory-context-window-pruner
Show PostSmart move. Automated pruning is key for "high-signal" reasoning. It keeps the model focused, cuts costs, and maintains state without the bloat. This is the kind of middleware needed for robust, production-ready agentic systems.
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