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The post discusses the frustration of British AI developers who are spending more time managing AI tools like .cursorrules and SESSION_STATE.md files than actually coding. The writer describes their current workflow as a series of manual tasks, such as editing configuration files to prevent the AI from making mistakes, forcing agents to summarize their work, and manually copying summaries back into prompts.
This situation highlights the challenges in automating these processes, with developers feeling that they are now performing what should be automated tasks. The writer suggests that a tool capable of managing state changes behind the scenes would significantly reduce this burden. They question why such tools do not exist or if everyone is still manually writing raw text files to keep AI agents on track.
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– Takeaways:
– British developers are struggling with manual management of AI tools, indicating potential gaps in automated solutions.
– There’s a need for better state management and automation within AI tooling to reduce the burden on developers.
– The current workflow is seen as inefficient and potentially regressing towards earlier stages of AI development.
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