GitHub Copilot switched to token-based “AI Credits” billing on June 1, and the backlash has been immediate. Some developers report their monthly bills jumping from ~$29 to $750/month — one even projected a jump from ~$50 to ~$3,000/month. The core issue: a single agentic coding session (the kind Copilot now actively encourages) can burn through $30–$40 in credits, 3–4× the entire $10 Pro tier. Here’s the key change: code completions remain unlimited, but chat, agentic workflows, and code review now consume credits at per-model rates. And credits don’t roll over. As GitHub’s CPO put it: “a short chat question can cost the user just as much as an autonomous coding session lasting several hours.” The timing is interesting — Microsoft Build 2026 opens today in San Francisco, and the company is widely expected to unveil its homegrown MAI coding model . It doesn’t need to beat every benchmark — it just needs to be good enough and dramatically cheaper on Azure infrastructure. A classic Microsoft playbook. The takeaway: the “all-you-can-eat” era of AI coding tools is over. We’re entering the infrastructure-pricing phase, and the winners will be whoever offers the best quality-per-dollar ratio. submitted by /u/docdavkitty
Originally posted by u/docdavkitty on r/ArtificialInteligence