Essays on building software with AI agents, from the OpenFlows team.
7 posts
Interactive AI chat in your IDE is not autonomous engineering; it is high-speed dictation. It tethers developers to prompt windows and breaks deep work. OpenFlows replaces synchronous chat wrangling with an asynchronous, issue-driven AI team that works while you sleep.
Interactive AI chat in your IDE is not autonomous engineering; it is high-speed dictation. It tethers developers to prompt windows and breaks deep work. OpenFlows replaces synchronous chat wrangling with an asynchronous, issue-driven AI team that works while you sleep.
An autonomous coding agent deletes a production database from a developer's machine.
Every developer now runs an ad-hoc AI agent on their laptop with zero shared protocols or governance. The result is shadow engineering: "my agent broke that without me knowing." Software development has never worked this way. OpenFlows restores the battle-tested engineering standards that made software reliable in the first place.
AI can generate code quickly, but reliable software needs more than suggestions. OpenFlows helps teams turn architectural intent into governed, secure, production-ready delivery.
Every software engineer knows the shape of a good workday. You don't walk in, wave your hands, and hope the code appears. You clock in, read the ticket, think about the data flow, write a plan, build it in small verifiable chunks, get it reviewed, and when it's merged you pack up and go home. The workspace you occupied for those eight hours isn't sacred. It's a disposable seat you leave behind.
AI gets expensive when a human sits at a keyboard, prompt after prompt, wrangling a machine into production-ready code through sequential conversation. Orchestration changes the equation: humans move from doing to directing while machines handle execution with precision.
A design for cross-workspace command execution that lets a reviewer agent verify code by asking for evidence - never by entering the workspace it's reviewing.
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