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Smart Era Software Development
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Smart Era Software Development

Committed to openness and connectivity, we build frontline engineering capabilities in software, requirements, and platform engineering. By integrating digitalization, cloud computing, blockchain, new media and other hot tech topics, we create an efficient, cutting‑edge tech exchange platform and a diversified engineering ecosystem. Provides frontline news, summit updates, and practical sharing.

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Recent Articles

Latest from Smart Era Software Development

84 recent articles
Smart Era Software Development
Smart Era Software Development
Dec 2, 2025 · Artificial Intelligence

The Prompt Software Crisis: Engineering Challenges of Agentic AI Systems

The rise of large language models has created a prompt‑software crisis for Agentic AI, where fragile natural‑language prompts cause robustness, observability, and adaptability problems, and existing software‑engineering methods fail to address these issues, prompting the need for a new systematic framework.

AdaptabilityAgentic AIRobustness
0 likes · 12 min read
The Prompt Software Crisis: Engineering Challenges of Agentic AI Systems
Smart Era Software Development
Smart Era Software Development
Nov 14, 2025 · Artificial Intelligence

AsyncThink: How Microsoft’s Agentic Organization Turns LLMs into Project Managers

The paper introduces AsyncThink, a novel "agentic organization" paradigm that lets large language models dynamically fork, join, and coordinate multiple reasoning agents, achieving higher accuracy and lower latency than traditional chain‑of‑thought or parallel‑thinking approaches across math, Sudoku, graph, and genetics tasks.

Agentic OrganizationAsyncThinkFork‑Join
0 likes · 8 min read
AsyncThink: How Microsoft’s Agentic Organization Turns LLMs into Project Managers
Smart Era Software Development
Smart Era Software Development
Sep 23, 2025 · Artificial Intelligence

OneSearch: How Kuaishou’s Large‑Model Engine Redefines E‑Commerce Search

The article reviews the evolution of e‑commerce search, explains why traditional multi‑stage pipelines struggle with relevance and personalization, and details OneSearch’s end‑to‑end large‑model design—hierarchical quantization encoding, integrated user profiling, and preference‑aware ranking—that achieved up to 27% model‑utilization and double‑digit CTR, CVR, and order growth in production.

AI rankingKuaishouOneSearch
0 likes · 15 min read
OneSearch: How Kuaishou’s Large‑Model Engine Redefines E‑Commerce Search
Smart Era Software Development
Smart Era Software Development
Aug 30, 2025 · Industry Insights

Andrew Ng Deep Dive: New Business Logic in the AI Era—Why Technology Isn’t the Bottleneck

In a detailed interview, Andrew Ng explains that AI advancement will come from diverse approaches such as agentic workflows and multimodal models, that talent—not technology—is the biggest bottleneck, and that AI is reshaping software engineering, startup product cycles, and founder success criteria.

AI developmentAgentic AIAndrew Ng
0 likes · 13 min read
Andrew Ng Deep Dive: New Business Logic in the AI Era—Why Technology Isn’t the Bottleneck
Smart Era Software Development
Smart Era Software Development
Jul 10, 2025 · Artificial Intelligence

Why Strong Coding Skills Supercharge AI: Insights from Karpathy’s Recommended Blog

The article explains that AI acts as an amplifier for software engineers, showing that solid coding fundamentals and precise prompts dramatically boost AI‑generated output, illustrated with prompt comparisons, tooling tactics, and a real‑world PostgreSQL optimization case, while emphasizing disciplined practices to avoid low‑quality code.

AI-assisted codingDatabase OptimizationLLM Tools
0 likes · 17 min read
Why Strong Coding Skills Supercharge AI: Insights from Karpathy’s Recommended Blog
Smart Era Software Development
Smart Era Software Development
Jul 8, 2025 · Artificial Intelligence

12-Factor Agents – Core Principles to Bridge the Demo‑to‑Production Gap for Reliable LLM Apps

The article presents the 12‑Factor Agents framework, adapting the classic 12‑Factor App methodology to large‑language‑model agents and detailing twelve concrete engineering principles—ranging from prompt control and context engineering to human‑in‑the‑loop and stateless design—that together enable production‑grade, observable, and maintainable AI agents.

12-FactorContext ManagementLLM Agents
0 likes · 11 min read
12-Factor Agents – Core Principles to Bridge the Demo‑to‑Production Gap for Reliable LLM Apps
Smart Era Software Development
Smart Era Software Development
Jul 2, 2025 · Artificial Intelligence

Is Prompt Engineering Obsolete? How Context Engineering Redefines AI Architecture

The article argues that as large language models become more capable, the key to successful AI applications shifts from clever prompting to robust context engineering—a dynamic, system‑level practice that supplies precise information, appropriate tools, and proper formatting to ensure stable, production‑grade agent behavior.

AI AgentsSoftware Architecturecontext engineering
0 likes · 9 min read
Is Prompt Engineering Obsolete? How Context Engineering Redefines AI Architecture
Smart Era Software Development
Smart Era Software Development
Jun 16, 2025 · Artificial Intelligence

Key Skills That Define the Next‑Gen GenAI Application Engineer

The article outlines the core competencies of a next‑generation GenAI application engineer—rapid modular AI development, leveraging AI‑assisted coding tools, strong product and design intuition, and mastery of a layered “AI LEGO” stack ranging from prompting and RAG to agentic frameworks and multimodal technologies.

AI engineeringAI toolsAgentic Frameworks
0 likes · 5 min read
Key Skills That Define the Next‑Gen GenAI Application Engineer
Smart Era Software Development
Smart Era Software Development
Jun 12, 2025 · Artificial Intelligence

Anthropic’s Practical Guide to AI Agents: From Selection to Efficient Implementation

This article offers a detailed, Anthropic‑based guide on building effective AI agents and workflows, covering selection criteria, design patterns such as prompt chains, routing, parallelization, orchestrator‑worker and evaluation‑optimization, real‑world case studies, and concrete implementation recommendations that stress simplicity and composability.

AI AgentsAnthropicLLM
0 likes · 26 min read
Anthropic’s Practical Guide to AI Agents: From Selection to Efficient Implementation