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Chengwu Tech Stack

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Latest from Chengwu Tech Stack

44 recent articles
Chengwu Tech Stack
Chengwu Tech Stack
Aug 5, 2026 · R&D Management

How to Split Complex Tasks So Multiple AI Agents Can Work in Parallel Without Clashing

The article explains that effective multi-agent collaboration requires identifying dependencies first, then decomposing tasks into four types (exploration, contract, implementation, integration), following four principles (independent boundaries, explicit inputs, verifiable outputs, controllable conflicts), and executing in four phases (contract-first, independent parallel, unified integration, system verification), illustrated with a batch import example.

AI agent coordinationR&D managementcontract-first development
0 likes · 19 min read
How to Split Complex Tasks So Multiple AI Agents Can Work in Parallel Without Clashing
Chengwu Tech Stack
Chengwu Tech Stack
Aug 4, 2026 · R&D Management

Building AI Project Templates: From Agents That Work to Agents That Deliver

This article presents a five-layer AI project template framework — business goals, project context, standard task packages, quality gates, and delivery evidence — to turn AI agents from ad-hoc code generators into reliable, manageable delivery systems, with concrete implementation steps and common pitfalls.

AI agentAI project templateR&D management
0 likes · 17 min read
Building AI Project Templates: From Agents That Work to Agents That Deliver
Chengwu Tech Stack
Chengwu Tech Stack
Aug 2, 2026 · R&D Management

90-Day AI Transformation for SMEs: Pilot First, Restructure Process, Then Scale

This article outlines a 90-day framework for small and medium tech companies to achieve their first AI transformation by running a real pilot project, establishing shared context, restructuring delivery processes with automated testing and quality gates, forming cross-functional delivery pods, and measuring success via delivery cycle, rework, defects, customer acceptance, and AI cost — before scaling.

AI transformationR&D managementSME
0 likes · 18 min read
90-Day AI Transformation for SMEs: Pilot First, Restructure Process, Then Scale
Chengwu Tech Stack
Chengwu Tech Stack
Jul 30, 2026 · R&D Management

AI Transformation: Why 3, 10, and 30-Person Companies Need Different Org Structures

This article analyzes how organizational structure must evolve across three company sizes during AI transformation: 3-person teams focus on rapid validation with composite roles, 10-person companies need stable replication through shared governance and templates, and 30-person companies require autonomous delivery pods with centralized governance to enable parallel execution while maintaining standards.

AI agentsAI transformationOrganizational Design
0 likes · 20 min read
AI Transformation: Why 3, 10, and 30-Person Companies Need Different Org Structures
Chengwu Tech Stack
Chengwu Tech Stack
Jul 29, 2026 · R&D Management

AI Development Pipeline: Not End-to-End Automation, But Governed Delivery

The article argues that AI development pipelines should not automate everything from requirement to production, but instead establish a governed delivery system with eight stages—requirement specification, task decomposition, parallel development, automated verification, code review, integration testing, pre-release acceptance, and production release—where quality gates and human decisions ensure reliability over speed.

AI development pipelineautomated verificationcode review
0 likes · 19 min read
AI Development Pipeline: Not End-to-End Automation, But Governed Delivery
Chengwu Tech Stack
Chengwu Tech Stack
Jul 28, 2026 · R&D Management

AI Agents Don't Kill Dev Roles—They Upgrade Them to Delivery Owners

The article argues that AI agents are transforming specialized development roles into unified delivery owners who orchestrate multiple agents to achieve business goals, requiring skills in task decomposition, parallel scheduling, multi-layer result review, and quality control rather than just coding.

AI agentsDelivery OwnershipQuality Control
0 likes · 19 min read
AI Agents Don't Kill Dev Roles—They Upgrade Them to Delivery Owners
Chengwu Tech Stack
Chengwu Tech Stack
Jul 27, 2026 · R&D Management

AI Agent Era: Small Tech Firms Need Four Key Owners, Not More Departments

The article argues that small tech companies should replace traditional departmental structures with four responsible owners—Business, Solution, Development, and Technical Governance—to shorten delivery chains and clarify accountability, while AI Agents handle execution under defined rules, context, and review mechanisms.

AI agentsHuman-Agent CollaborationOrganizational Design
0 likes · 17 min read
AI Agent Era: Small Tech Firms Need Four Key Owners, Not More Departments
Chengwu Tech Stack
Chengwu Tech Stack
Jul 24, 2026 · Industry Insights

AI Agents Are Rewriting Software Production: Why Small Tech Companies Must Transform

AI Agents are reshaping software production by enabling individuals to orchestrate multiple automated tasks across requirements, coding, testing, and deployment, forcing small tech companies to shift from headcount-driven growth to organizational capabilities like AI utilization, delivery quality, and reduced coordination overhead.

AI agentsSME tech companiesdelivery chains
0 likes · 13 min read
AI Agents Are Rewriting Software Production: Why Small Tech Companies Must Transform
Chengwu Tech Stack
Chengwu Tech Stack
Jul 21, 2026 · Industry Insights

AI Era: CRUD Programmers' 5-Year Crisis and Path Forward

The article analyzes how AI programming tools disrupt CRUD developers, predicts reduced demand for pure execution roles, and outlines three career directions: becoming AI-enhanced engineers, deepening business domain expertise, and advancing toward system architecture, arguing that value shifts from coding speed to problem-solving with AI.

AI programmingAI-assisted codingCRUD developers
0 likes · 7 min read
AI Era: CRUD Programmers' 5-Year Crisis and Path Forward