TokenCap v1.3.0 Adds Task Tracking to Fix AI Context Drift in Coding Sessions

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A developer building the open-source tool TokenCap identified that rewriting prompts does not solve AI context drift — the real issue is the absence of a persistent, shared project state across sessions. TokenCap generates a TOKENCAP.md file that serves as a structured, AI-readable snapshot of an entire codebase, designed to be attached at the start of each AI session. The newly released v1.3.0 introduces a Task Intelligence Layer that extends the snapshot beyond static code structure to include active task context, in-progress decisions, and session continuity blocks. A new Decision Logging feature automatically records architectural choices so future sessions and teammates can understand not just what was built, but why. A CLI Loop Mode keeps the snapshot file continuously updated in the background as development progresses.

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