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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

77 recent articles
Smart Era Software Development
Smart Era Software Development
Jun 9, 2026 · Artificial Intelligence

How Dual Forums at Agentic AICon Shanghai Redefined AI‑Agent Integration for Real‑World Impact

The Agentic AICon Shanghai conference (June 5‑6) brought together 15 forum organizers and 69 speakers to explore AI‑for‑software‑engineering and software‑engineering‑for‑AI, launch the ADPS open‑source design‑pattern project, and deliver concrete architectural, evaluation and commercialization insights for AI agents.

ADPSAI agentsAI for SE
0 likes · 15 min read
How Dual Forums at Agentic AICon Shanghai Redefined AI‑Agent Integration for Real‑World Impact
Smart Era Software Development
Smart Era Software Development
Jun 5, 2026 · Artificial Intelligence

Ending the Agent Industry’s Wheel‑Reinventing: ADPS Launches the First Global Agent Design Language

At Agentic AICon in Shanghai, the Agent Design Patterns Society (ADPS) unveiled a double‑axis 7×6 framework and 28 standardized design patterns that aim to replace fragmented agent engineering with a unified, reusable, and scalable architecture language for AI agents worldwide.

AI agentsAgent Design PatternsDouble‑Axis Framework
0 likes · 13 min read
Ending the Agent Industry’s Wheel‑Reinventing: ADPS Launches the First Global Agent Design Language
Smart Era Software Development
Smart Era Software Development
Apr 3, 2026 · Artificial Intelligence

Claude Code Deep Dive: Engineering an AI Programming Assistant and Agent Design Best Practices

This article provides a comprehensive technical analysis of Claude Code, explaining how it transforms AI programming assistants from simple code‑completion tools into autonomous agents that can read/write files, execute commands, manage context, and coordinate multiple agents, while detailing its eight core design principles, layered architecture, tool system, context engineering, state management, security model, extensibility mechanisms, and performance optimizations.

AI AgentAgent EngineeringClaude Code
0 likes · 26 min read
Claude Code Deep Dive: Engineering an AI Programming Assistant and Agent Design Best Practices
Smart Era Software Development
Smart Era Software Development
Mar 23, 2026 · Artificial Intelligence

From Context Engineering to Harness Engineering: Redefining Engineer Value in the AI Era

AI coding can generate code ten times faster, yet developers spend 70% of their time on non‑coding tasks such as testing, deployment and review, turning AI into a new bottleneck; the proposed solution, Harness Engineering, equips models with agents, KV‑Cache and multi‑agent workflows so engineers shift from writing code to designing AI‑friendly environments and orchestrating full‑lifecycle development.

AI codingAI-native toolsAgent
0 likes · 18 min read
From Context Engineering to Harness Engineering: Redefining Engineer Value in the AI Era
Smart Era Software Development
Smart Era Software Development
Mar 19, 2026 · Information Security

OpenClaw Fuels AI Security Concerns – Is Armadin’s Agent Loop the New Standard?

The rapid rise of OpenClaw demonstrates how AI‑driven agents can automate complex attacks, dramatically lowering costs and scaling threats, prompting a shift toward continuous, autonomous security testing; Armadin’s agent‑swarm platform aims to close the attack‑defense loop by simulating nation‑state tactics and learning from real exploits.

AI SecurityAgent Swarmattack automation
0 likes · 22 min read
OpenClaw Fuels AI Security Concerns – Is Armadin’s Agent Loop the New Standard?
Smart Era Software Development
Smart Era Software Development
Mar 18, 2026 · Artificial Intelligence

Why Harness Engineering Is the Cybernetics of the Agent Era

The article traces harness engineering—from Watt’s centrifugal governor to Kubernetes controllers to OpenAI’s agent‑first coding—showing how each era closes feedback loops at higher abstraction levels, and argues that successful agentic development now requires calibrated sensors, explicit architectural rules, and rigorous verification to avoid code drift.

LLMcyberneticsfeedback loops
0 likes · 11 min read
Why Harness Engineering Is the Cybernetics of the Agent Era
Smart Era Software Development
Smart Era Software Development
Feb 25, 2026 · Artificial Intelligence

How AI Will Drive R&D Systems in the Next 5‑10 Years

The article analyzes the rapid evolution of AI coding tools, identifies their current limitations, proposes the AI‑First System Development Methodology (ASDM) with a self‑feedback PDCA loop, and argues that future software development will shift from building for humans to building for AI.

AI codingASDMPDCA
0 likes · 16 min read
How AI Will Drive R&D Systems in the Next 5‑10 Years
Smart Era Software Development
Smart Era Software Development
Feb 24, 2026 · Artificial Intelligence

What Anthropic’s New 23,000‑Word AI Constitution Reveals About Its Struggles

The article examines Anthropic’s 2026 release of a 23,000‑word AI Constitution, tracing an experiment where two Claude models debated consciousness, explaining the shift from rule‑based prompts to virtue‑ethics teaching, outlining hard constraints, a four‑level priority system, a three‑tier delegation chain, and the unresolved paradoxes surrounding AI moral status and control.

AI alignmentAI constitutionAI ethics
0 likes · 15 min read
What Anthropic’s New 23,000‑Word AI Constitution Reveals About Its Struggles
Smart Era Software Development
Smart Era Software Development
Jan 27, 2026 · Artificial Intelligence

Why Evaluation and Governance Are the Key to Scaling AI Agents

As 82% of organizations plan to adopt AI agents within three years, this article outlines a full‑chain methodology—7‑dimensional classification, multi‑layer evaluation metrics, three‑stage validation, five‑step risk lifecycle, and progressive governance—to safely scale autonomous agents from prototype to enterprise deployment while addressing emerging multi‑agent challenges.

AI agentsGovernanceLLM
0 likes · 22 min read
Why Evaluation and Governance Are the Key to Scaling AI Agents