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R&D Management

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Alibaba Cloud Native
Alibaba Cloud Native
Oct 14, 2026 · R&D Management

15 Agents Form an R&D Squad: End-to-End Multi-Agent Collaboration for Software Delivery

The article describes how 15 specialized agents organized via AgentCore collaborate across the full software delivery lifecycle, while AgentLoop continuously improves the team by analyzing execution traces, enabling offline benchmarking against expert commits and online experience accumulation, reducing delivery cycle from a month to a week in a constrained scenario.

AI agentsAgentCoreAgentLoop
0 likes · 12 min read
15 Agents Form an R&D Squad: End-to-End Multi-Agent Collaboration for Software Delivery
Data Bricklaying Diary
Data Bricklaying Diary
Oct 14, 2026 · R&D Management

FDE #07: Why Launch ≠ Value — Production Gates & Metrics That Prevent False Success

This article distinguishes production readiness gates from value validation metrics in AI agent deployments, detailing four hard gates (quality, security, operations, governance), a six-dimensional metrics framework with seven required fields per metric, attribution boundaries for business results, and decision triggers (continue, expand, contract, exit) to avoid false success signals.

AI agent deploymentFDEattribution analysis
0 likes · 27 min read
FDE #07: Why Launch ≠ Value — Production Gates & Metrics That Prevent False Success
Alibaba Cloud Native
Alibaba Cloud Native
Oct 13, 2026 · R&D Management

Alibaba Cloud's AI-Native R&D Org Transformation: 3-Stage Evolution, 7 Production Pilots & Unresolved Challenges

Alibaba Cloud's CTO line shares early findings from AI-native R&D transformation, revealing a three-stage evolution from tool-native to org-native, local efficiency gains like 2hrs→5mins and 40days→2days release cycles, three platform-level needs, and seven production pilots, while acknowledging unresolved challenges in human-AI collaboration, responsibility boundaries, and cross-team reuse.

AI-native R&DAgentAlibaba Cloud
0 likes · 38 min read
Alibaba Cloud's AI-Native R&D Org Transformation: 3-Stage Evolution, 7 Production Pilots & Unresolved Challenges
TonyBai
TonyBai
Oct 13, 2026 · R&D Management

Debugging AI-Generated Code: The 'Facts First' Method That Catches Agent Hallucinations

The article presents a debugging methodology for AI-generated code based on three production incidents, advocating a constraint-satisfaction approach where agents collect immutable facts before forming hypotheses, use control comparisons to isolate strong signals, and verify against all evidence to avoid hallucinated fixes.

AI-assisted developmentDebuggingconstraint satisfaction
0 likes · 16 min read
Debugging AI-Generated Code: The 'Facts First' Method That Catches Agent Hallucinations
Data Bricklaying Diary
Data Bricklaying Diary
Oct 12, 2026 · R&D Management

Start with One Scenario or Build Full Ontology? Preventing Pilot Silos

The article advocates starting enterprise ontology with a verifiable business capability like supplier qualification checks, defining object identity, scope, shared definitions, and maintenance responsibilities upfront, then using a second scenario to test reuse boundaries while tracking dependencies for future changes.

architecture decision recordsdata governancedependency tracking
0 likes · 14 min read
Start with One Scenario or Build Full Ontology? Preventing Pilot Silos
Architecture Breakthrough
Architecture Breakthrough
Oct 12, 2026 · R&D Management

How Chinese Banks' Precious Metals Offerings Deviate from Standards — and Why Paper Gold Is Disappearing

The article maps the official five-category classification of agency precious metals business against actual product lines at ICBC, China Merchants Bank, and Minsheng Bank, reveals that account precious metals (paper gold) have been phased out since 2021 due to regulatory reclassification as derivatives and the 'Oil Treasure' fallout, and contrasts paper gold with the now-favored accumulation gold across eight dimensions including leverage, physical delivery, and target users.

accumulation goldarchitecturebanking
0 likes · 13 min read
How Chinese Banks' Precious Metals Offerings Deviate from Standards — and Why Paper Gold Is Disappearing
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Oct 11, 2026 · R&D Management

Beyond Self-Healing: Isolation Observation Strategy for Test Failure Governance

This article critiques AI-driven self-healing tests for masking real defects and bypassing new business logic, proposing a four-step isolation observation framework—classify failures, attempt temporary recovery, track failure clusters through a state machine, and precipitate reusable knowledge—to make failures explainable, controllable, and accumulative rather than chasing zero failures.

AI in testingautomated testingfailure classification
0 likes · 12 min read
Beyond Self-Healing: Isolation Observation Strategy for Test Failure Governance
Ops Development & AI Practice
Ops Development & AI Practice
Oct 11, 2026 · R&D Management

Does AI-Generated Documentation Count as Knowledge Accumulation? A Practical Framework

The article evaluates whether using coding agents to write docs, Jira tasks, MR descriptions, and Skills constitutes real knowledge accumulation, proposing four criteria — findable, trustworthy, usable, updatable — and a workflow linking task evidence, ADRs, runbooks, tests, and Skills with continuous validation.

AI-assisted developmentContext EngineeringMCP
0 likes · 24 min read
Does AI-Generated Documentation Count as Knowledge Accumulation? A Practical Framework
Data Bricklaying Diary
Data Bricklaying Diary
Oct 11, 2026 · R&D Management

Who Owns Enterprise AI? Six Responsibility Types for Real Business Value

This article argues that enterprise AI requires six distinct responsibility types—strategic, business value, employee change, platform, risk, and operations—each with a single accountable owner, and provides a decision matrix with escalation paths to replace vague RACI charts and ensure AI delivers sustained business value.

AI governanceCross-Functional TeamsDecision Matrix
0 likes · 25 min read
Who Owns Enterprise AI? Six Responsibility Types for Real Business Value
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Oct 10, 2026 · R&D Management

ERP Top-Level Design: Why Your Learning Path Fails & The 4-Stage Fix

This article explains why ERP professionals struggle with top-level design despite years of experience, identifying the wrong learning path as the root cause, and provides a four-stage learning roadmap covering business fundamentals, product mastery, architecture methodology, and real-case analysis, plus common pitfalls and a self-assessment test.

BPMNERPSAP S/4HANA
0 likes · 9 min read
ERP Top-Level Design: Why Your Learning Path Fails & The 4-Stage Fix
Cambridge Mofang Notes
Cambridge Mofang Notes
Oct 10, 2026 · R&D Management

AI Accelerates Architecture Design; Architects Must Validate Boundaries, References, and Decisions

While AI can rapidly generate architecture diagrams and specifications, architects must rigorously define system boundaries, verify reference materials, document decision rationale with trade-offs, and adapt their skills to orchestrate AI workflows and evaluate outcomes to prevent unverified assumptions from entering production.

AI orchestrationAI-assisted developmentarchitecture review
0 likes · 15 min read
AI Accelerates Architecture Design; Architects Must Validate Boundaries, References, and Decisions
Chengwu Tech Stack
Chengwu Tech Stack
Oct 10, 2026 · R&D Management

From Coder to Decision-Maker: The New Programmer Value in the AI Era

This article analyzes how AI shifts programmer value from implementation to judgment, citing research from METR, DORA, and Anthropic, and provides a framework for developing decision-making skills through problem definition, solution selection, validation, code understanding, and retrospective, with career paths for 2026–2031.

AI-assisted programmingAnthropicDORA
0 likes · 25 min read
From Coder to Decision-Maker: The New Programmer Value in the AI Era
Programmer DD
Programmer DD
Oct 10, 2026 · R&D Management

AI Agent as New User: Automating Usability Testing with Doubao Work

The author experiments with Doubao Work AI agent to simulate a first-time user testing their AI writing desktop app "Lingxie Creation", having it explore the UI, write a novel, and produce a prioritized experience report with issues and optimization suggestions, then proposes integrating this into QA workflows as reusable Skills and a QA manager role.

AI AgentAI-assisted QADoubao Work
0 likes · 6 min read
AI Agent as New User: Automating Usability Testing with Doubao Work
Geek Labs
Geek Labs
Oct 9, 2026 · R&D Management

3,516 Top-Conference Figure 1 Examples: A Searchable Gallery for Paper Illustration Inspiration

The article introduces Top-Conf Figure Gallery, a static webpage collecting 3,516 Figure 1 images from six top AI conferences (2023–2026), filterable by conference, year, acceptance tier, and visual mode, plus FigureForge, an AI-assisted tool that uses these figures as references to generate draft illustrations for researchers' papers.

AI-assisted illustrationFigureForgeOpen Source
0 likes · 11 min read
3,516 Top-Conference Figure 1 Examples: A Searchable Gallery for Paper Illustration Inspiration
Cilantro Loves Linux
Cilantro Loves Linux
Oct 8, 2026 · R&D Management

Why Experience Alone Doesn't Make an Architect: The Shift to System-Level Judgment

This article explores why years of coding experience don't automatically produce architect-level judgment, detailing the shift from local implementation to global abstraction, boundary setting, and trade-off decisions, and provides a four-step training loop with concrete daily practices and common pitfalls to avoid.

Technical Decision Makingarchitect career planningarchitect vs programmer
0 likes · 9 min read
Why Experience Alone Doesn't Make an Architect: The Shift to System-Level Judgment
Lakehouse Research Base
Lakehouse Research Base
Oct 8, 2026 · R&D Management

Palantir's FDE+PDE Model: The Feedback Loop That Powers AI-Era Engineering

This article analyzes Palantir's Forward Deployed Engineer (FDE) and Product Development Engineer (PDE) model, explaining how continuous feedback from customer deployments drives platform evolution, why this approach solves complex enterprise AI integration challenges, and how AI agents are now automating the FDE role itself.

AI engineeringEngineering OrganizationFDE
0 likes · 22 min read
Palantir's FDE+PDE Model: The Feedback Loop That Powers AI-Era Engineering
Code of Duty
Code of Duty
Oct 8, 2026 · R&D Management

How to Build a Developer Portfolio That Translates Projects into Proven Skills

This article explains how to structure a programmer's portfolio to clearly demonstrate capabilities by answering five key questions per project, distinguishing portfolio from GitHub, and providing concrete examples like blog deployment, server security, and Docker+Nginx architecture with capability tags and retrospective links.

Dockercapability proofdeveloper portfolio
0 likes · 11 min read
How to Build a Developer Portfolio That Translates Projects into Proven Skills
Data Bricklaying Diary
Data Bricklaying Diary
Oct 7, 2026 · R&D Management

Mission Engineering 12: Scaling from One Cup to Ten — What Carries Over to Complex Delivery?

This article explores how mission engineering methods scale from brewing a single cup of coffee to serving ten people and fulfilling complex orders, emphasizing that while definitions and recipes can be reused, goals, timing, resource capacity, handoffs, and success evidence must be re-validated for each new scenario, using OPM and ontology to trace cross-system collaboration and emergence.

Cross-team CollaborationEmergenceMission Engineering
0 likes · 24 min read
Mission Engineering 12: Scaling from One Cup to Ten — What Carries Over to Complex Delivery?