Developer reports 534K-token single turn in 1,320-turn agent session on 1M-context model
A developer shared that one turn in a 1,320-turn agent session consumed 534,000 tokens, 2.7x the typical 200K context ceiling. The session remained coherent only because it ran on a 1M-token window; on a 200K model it would have fragmented. The setup uses a long-running agent coordinating subagents.
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Developer reports Claude performance degrades beyond 500K tokens, uses handover files to reset context
A developer working on a large C# plugin reports that Claude becomes increasingly unreliable after 500K tokens of context, with performance degrading significantly by 800-900K tokens. To work around this, they manually create a handover.md file summarizing the project state and start a new session, asking Claude to re-read key files. The post questions whether this is common practice and whether tools exist to automate the process.
New model with 500K-token context and $2/$6 pricing shifts cost calculus
A model offering a 500,000-token context window at $2 per million input tokens and $6 per million output tokens has been released, drawing attention for its cost-effectiveness. The pricing and context length are seen as significant for applications requiring long-context processing, potentially changing the competitive landscape before benchmark comparisons are even made.
Developer drains API quota testing recursive agent with Minimax m3 due to infinite loop
A developer testing a recursive agent for coding workflows using Minimax m3 left the agent running and returned to find their entire API quota drained. The agent encountered a minor JSON error and entered an infinite loop of plan, analyze, retry, and summarize, causing exponential token consumption. The incident highlights the risk of unbounded recursive loops in agentic workflows, which can amplify costs far beyond single-prompt pricing.
Developer reports AI coding agent with persistent memory across cold reboots
A developer on Reddit reports that their AI coding agent retained full context—including decisions, boundaries, and past mistakes—across a complete PC shutdown and fresh terminal session. The agent continued mid-thought without re-explanation or warm-up, suggesting a breakthrough in long-term memory persistence for coding assistants.
Users report Claude Code consuming excessive usage due to large context bug
Multiple users report that Claude Code consumes 20-40% of their usage allowance per session due to a bug that sends 300k+ message contexts even on fresh sessions. One user lost significant paid usage before realizing the issue. Another user describes a layered configuration setup with CLAUDE.md and AGENTS.md files, and a cleanup that removed ~700MB of empty content but still faced model selection inefficiencies.