Traditional change management relies on friction to control change frequency. AI eliminated that friction. Change management has shifted from a human process problem to a context engineering problem. Sharing our practice and unsolved challenges in structured anchoring within an SDD system.
AI drove code production costs to the floor, but project management costs actually went up. Traditional PM manages whether you finish on time; AI-era PM manages whether you're building the right thing. These require fundamentally different tools.
From prompt engineering to Harness Engineering, AI programming has been doing one thing: humans move further from code while gaining stronger control. OpenAI's 3 engineers guiding Codex to 1M lines of code reveals Harness's decisive role in AI programming reliability.
AI Coding is not a technical problem — it's a management problem. From requirements to execution to acceptance, building explicit contracts at each stage is the deterministic boundary of AI Coding. A milestone summary from the Agent Management forum.
Alibaba's qwen-code CLI is a fork of Google's Gemini CLI. Legally fine under Apache 2.0, but from a product management perspective, this was a rash decision. Users discovered the /init command still generates GEMINI.md instead of QWEN.md — a leftover from an incomplete fork audit.
Complaints that AI-written code is unusable? The problem is not correctly applying iterative methodology. Iteration means repeatedly approximating a fixed goal through multiple attempts. In software development, iteration applies to every stage — from requirements to implementation and testing.