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Code-Mode

5 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-ModeContext Graph
0 likes · 26 min read
How Uber Scaled AI Agents 9.4x While Keeping Costs Flat: A Cost Equation Breakdown
DataFunTalk
DataFunTalk
Aug 18, 2026 · Artificial Intelligence

Why DeepSeek Harness Is Shaping the Next Agent Battlefield: From Model‑Centric to System‑Centric Design

The article breaks down five concrete design patterns in DeepSeek Harness—session logs as truth, repeat‑tool reminders, output retention, Code Mode governance, and Workspace for long‑term state—showing how the framework shifts agent development from pure model tricks to a full‑featured runtime system.

AI AgentsCode-ModeDeepSeek Harness
0 likes · 11 min read
Why DeepSeek Harness Is Shaping the Next Agent Battlefield: From Model‑Centric to System‑Centric Design
DeepNoMind
DeepNoMind
May 24, 2026 · Artificial Intelligence

Building Production-Ready AI Agents: Proper Use of Skills, MCP, and CLI

This guide walks through constructing production-grade AI agents by combining reusable Skills for domain knowledge, the Model Context Protocol (MCP) for secure integration, and a token‑efficient CLI, detailing architecture layers, progressive tool loading, code‑mode orchestration, performance benchmarks, and future roadmap considerations.

AI AgentCLICode-Mode
0 likes · 9 min read
Building Production-Ready AI Agents: Proper Use of Skills, MCP, and CLI
Machine Heart
Machine Heart
Mar 31, 2026 · Artificial Intelligence

Tired of Complex AI Tools? The New SOLO Standalone Promises Real Productivity

The article evaluates TRAE's newly released SOLO standalone client, highlighting its dual Code and MTC modes, seamless PC/Web experience, cloud‑enabled parallelism, and hard‑core tests that show how the tool can turn AI agents into a full‑stack productivity platform for developers, product managers and operations staff.

AI AgentsAI developmentCode-Mode
0 likes · 10 min read
Tired of Complex AI Tools? The New SOLO Standalone Promises Real Productivity