Building AI Workflows That Compound: Why the System Matters More Than the Tool
A developer working across multiple AI-assisted projects — including SWE Forge and SelfContext — observed that the real productivity gain came not from any single tool, but from building workflows where context, habits, and software reinforce each other over time. Rather than claiming a specific productivity multiplier, the author notes that ideas which once stayed in notes files now become small implementations, with each project leaving reusable assets for the next. Having worked with AI since ChatGPT's launch, the author has tracked how once-unreliable workflows have gradually become automatable as models and surrounding tooling mature together. The author has explored a wide range of tools — including Claude Code, Cursor, Codex, and Grok Build — without seeking a single winner, instead focusing on understanding the tradeoffs each makes. The key insight is that access to AI tools is no longer the scarce resource; developing a clear mental model of what belongs in your workflow is.
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