Intent Weaving for AI Coding Agents

Summary

Intent Weaving for AI Coding Agents How Autohand translates strategy into autonomous execution that Level 4 coding agents can trust Igor Costa • October 10, 2025 • 24 min read Autonomy only compounds value when it expresses the strategy of the organisation that deploys it. Otherwise, agents become detached freelancers closing Jira tickets for their own amusement. Intent weaving is our discipline for preventing that drift. It is the set of patterns we use to capture strategy, encode governance, and guide Autohand’s Level 4 agents so that every autonomous action can be traced back to a business mandate. Unlike classical product roadmapping, intent weaving assumes the builders are machines. Machines that can reason, plan, and act - but only within the bounds we describe. The challenge is twofold: give agents enough structure to act with confidence, while leaving sufficient context for human stakeholders to understand, audit, and redirect outcomes. This article describes the machinery behind that translation layer, down to the data contracts, review rituals, and trust metrics we run weekly. Key questions answered in this guide How do we turn OKRs, market shocks, and risk mandates into machine-executable intents? What does the Autohand mission compiler actually do with all that context? Where do humans stay in the loop, and how are overrides fed back into autonomy? How do we prove that what shipped matches the strategic intent we encoded? 1. Intent is the programmable form of strategy Strategy documents are prose. Autonomy needs structure. We model the bridge as intent: a typed declaration of desired outcomes, constraints, and success evidence. Intent is the currency our agents consume. Every mission Autohand executes begins with an intent that has three layers: Vision layer: the why. Links to OKRs, regulatory commitments, customer promises. Delivery layer: the what. Defines scope, guardrails, dependencies, deadlines. Evidence layer: the how we know. Specifies observabil...