Finops

Agentic coding tasks consume up to 1,000× more tokens than equivalent chat sessions, input tokens (not output) dominate the bill even with prompt caching enabled, and the same task can vary by 30× in total token consumption across runs with no correlation to output quality — yet most teams still have zero per-agent, per-feature cost attribution. Fixing that starts with tagging every LLM request at the SDK call site. Why Token Cost Attribution Matters More in 2026 Than Ever Enterprise GenAI spend hit $37B in 2025, up from $11.5B the year before. 80% of companies exceeded their AI cost forecasts by 25% or more (full breakdown). The old approach — a single API key for the whole team, one line item on the AWS bill — no longer works when agents are running unsupervised loops that burn 25,000–35,000 tokens per turn across 50-turn sessions. ...

GitHub Copilot AI cost centers are now the practical control plane for usage-based Copilot billing. Since June 1, 2026, Business and Enterprise customers need to manage pooled AI Credits, metered overage, user-level budgets, and cost-center limits together instead of treating Copilot as a flat per-seat tool. What Changed With GitHub Copilot Billing In 2026? GitHub moved Copilot Business and Copilot Enterprise usage-based billing to GitHub AI Credits on June 1, 2026. The seat prices stayed the same: $19 per user per month for Copilot Business and $39 per user per month for Copilot Enterprise. The important change is that many higher-cost Copilot features now draw from a monthly pool of included credits, then move into paid metered usage if your configuration allows it. ...

The best AI cloud cost optimization tool for 2026 depends on your infrastructure: ProsperOps is the top pick if you run significant AWS Reserved Instance or Savings Plans commitments, CAST AI wins for teams with complex Kubernetes workloads that need fully automated rightsizing, and Kubecost delivers the deepest cost visibility for engineering teams that want granular per-namespace or per-team chargeback without full automation lock-in. Why Does AI-Driven Cloud Cost Optimization Matter More Than Ever in 2026? Cloud spending has become one of the largest line items for engineering organizations worldwide, yet a striking share of that spend is still wasted. The cloud cost optimization market is projected to reach $12.7 billion by 2026, propelled by the explosion of AI workloads and widespread multi-cloud adoption (Scopir 2026 Cloud Cost Optimization Report). Legacy, rule-based approaches—static rightsizing scripts, manual Reserved Instance purchases, quarterly FinOps reviews—simply cannot keep pace with the elastic, GPU-heavy, multi-region environments that teams now run. ...