Do your AI pipelines keep re-sending the same context?

<!-- SC_OFF --><div class="md"><p>Been building AI agents for a while and kept hitting the same wall: agents that work great at the start of a session and quietly fall apart by

<!-- SC_OFF --><div class="md"><p>How do you guys deal with long context, for example while coding, when you’re going back and forth for adjustments or fixing some errors and

<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1vv4mwa/has_anyone_else_gotten_crushed_by_api_costs/"> <img alt="Has anyone else gotten crushed by API costs

<!-- SC_OFF --><div class="md"><p>Been noticing that once you use LLMs for real dev work, the cost conversation gets messy fast. It is not just raw API spend. It is retries, long

<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1sufmrp/the_eu_and_the_white_house_published_documents/"> <img alt="The EU and the White House

<!-- SC_OFF --><div class="md"><p>Been building with LLM workflows recently.</p> <p>Single prompts → work well </p> <p>Even 2–3 steps → manageable </p> <p>But once the workflow

<!-- SC_OFF --><div class="md"><p>I’ve been noticing something while building.</p> <p>If I test a prompt alone, it works well.</p> <p>Even chaining 2–3 steps feels okay.</p>

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s2bne8/context_shifting_sliding_window_rag/"> <img alt="Context Shifting + sliding window + RAG"