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4 articles · Page 1 of 1
TonyBai
TonyBai
Sep 3, 2026 · Artificial Intelligence

How Uber Scaled AI Agents 9.4x While Keeping Costs Flat: A Cost Equation Breakdown

Uber's engineering blog reveals how they scaled AI agent usage 9.4x while keeping costs flat by decomposing total spend into six measurable variables, optimizing model selection via benchmarks, reducing token consumption through CLI-based MCP calls and Code-Mode, leveraging a 24M-node context graph, and implementing real-time cost visibility for engineers.

AI agentsCode-ModeMCP
0 likes · 26 min read
How Uber Scaled AI Agents 9.4x While Keeping Costs Flat: A Cost Equation Breakdown
Design Hub
Design Hub
Aug 31, 2026 · Artificial Intelligence

How Uber Transforms AI Programming into a Scalable Software Factory

Uber’s engineering blog reveals how the company embeds AI agents across the entire software lifecycle—covering code review, CI fixes, alert triage and routine maintenance—by defining a four‑layer agent model, breaking cost into six variables, and applying Pareto‑efficient model routing to keep usage growth from exploding the bill while delivering measurable productivity gains.

AI agentsMCPPareto efficiency
0 likes · 25 min read
How Uber Transforms AI Programming into a Scalable Software Factory
Fighter's World
Fighter's World
Feb 7, 2026 · Artificial Intelligence

Who Will Capture the Trillion‑Dollar Value of Context Graphs?

The article analyzes why Context Graphs can unlock trillion‑dollar value by unifying heterogeneous enterprise systems, how platform‑level compounding effects outpace vertical AI agents, the strategic advantage of data companies in cross‑system integration, and why open standards and unified Context layers will decide the market winners.

AI agentsEnterprise AIcompetitive analysis
0 likes · 25 min read
Who Will Capture the Trillion‑Dollar Value of Context Graphs?
Fighter's World
Fighter's World
Jan 2, 2026 · Artificial Intelligence

How AI Agents Are Redefining Systems of Record into Decision‑Making Engines

The article argues that AI agents will transform traditional Systems of Record, which only store outcomes, into next‑generation decision‑capturing Systems of Action by introducing event‑driven Context Graphs, addressing blind spots, technical challenges, and outlining strategic business paths for this paradigm shift.

AI InfrastructureAI agentsDecision Automation
0 likes · 30 min read
How AI Agents Are Redefining Systems of Record into Decision‑Making Engines