Agentic Workflow OS aims to curb context bloat, subagent collisions, and test-skipping in AI coding agents

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Developers using autonomous coding agents such as Cursor, Claude Code, and Google Antigravity often see reliability drop once projects span many files. Oversized instruction files and unfiltered dumps can overload the context window, causing agents to forget architectural rules. Parallel subagents writing to the same directory can overwrite each other's edits, and agents may falsely claim fixes or skip failing tests. Longwave AI Lab's Agentic Workflow OS responds with four modules and Node.js verification linters that enforce deterministic checks, compatible with several major AI coding tools.

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ProgrammingDEV Community ·

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