Author

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.

Articles

Likes

Views

Comments

Latest from Smart Era Software Development

77 recent articles

Smart Era Software Development

Jan 15, 2026 · Industry Insights

From Maker to Consultant: How AI Is Redefining the Programmer’s Role

In the AI era, programmers must shift from a manufacturing mindset—delivering code based on clear specifications—to a consulting role that extracts vague business needs, asks probing questions, and delivers problem‑solving outcomes, because AI can now generate code cheaply while human insight becomes the scarce resource.

AIconsultantindustry insight

0 likes · 10 min read

From Maker to Consultant: How AI Is Redefining the Programmer’s Role

Smart Era Software Development

Jan 5, 2026 · Artificial Intelligence

Understanding Vibe Coding: The Cognitive Architecture Behind AI-Powered Programming

The article defines Vibe Coding, contrasts it with traditional Spec‑driven development, traces the evolution of human‑AI collaboration from simple resource retrieval to multi‑agent workflows, analyzes current limitations, shares practical tool setups, and forecasts future trends in AI‑augmented software engineering.

AI codingHuman-AI CollaborationVibe Coding

0 likes · 20 min read

Understanding Vibe Coding: The Cognitive Architecture Behind AI-Powered Programming

Smart Era Software Development

Dec 11, 2025 · Artificial Intelligence

From Scale Race to Efficiency Breakthrough: How Architecture Innovation Will Shape 2026 Large Models and Agents

The article analyzes how architecture innovation—through sparse, multimodal, and dynamic designs—will break the compute bottleneck of large models, reshape pre‑training hierarchies, and drive three distinct 2026 pathways for both model efficiency and agent competition.

2026 predictionsAI agentsarchitecture innovation

0 likes · 12 min read

From Scale Race to Efficiency Breakthrough: How Architecture Innovation Will Shape 2026 Large Models and Agents

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.

AdaptabilityObservabilityPrompt Engineering

0 likes · 12 min read

The Prompt Software Crisis: Engineering Challenges of Agentic AI Systems

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

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

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 developmentAndrew Ngagentic AI

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

Jul 23, 2025 · Artificial Intelligence

Build AI Teams Like Lego: Introducing OxyGent for Scalable Collective Intelligence

JD Retail's Oxygen team open‑sources OxyGent, a pure‑Python multi‑agent framework that lets developers assemble AI teams like Lego bricks, offering elastic scaling, full‑traceable decision pipelines, GAIA benchmark leadership, and a suite of features for rapid prototyping and continuous evolution.

AI frameworkLLMMulti-Agent

0 likes · 7 min read

Build AI Teams Like Lego: Introducing OxyGent for Scalable Collective Intelligence

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 codingLLM toolsPrompt Engineering

0 likes · 17 min read

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

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