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software verification

8 articles · Page 1 of 1
Data Party THU
Data Party THU
Oct 25, 2026 · Artificial Intelligence

Harness-of-Harness: Continuous Development & Verification for Long-Cycle AI Coding Agents

The article introduces Harness-of-Harness (HoH), a protocol organizing AI coding agents into iterative planning, development, and independent QA cycles with persistent artifact and evidence states, showing 52.25% average improvement over vanilla agents across three benchmarks and demonstrating a 70-round FPS game development case study.

AI coding agentsHarness-of-HarnessMulti-Agent Systems
0 likes · 17 min read
Harness-of-Harness: Continuous Development & Verification for Long-Cycle AI Coding Agents
HarmonyOS Developer Technology
HarmonyOS Developer Technology
Sep 24, 2026 · Mobile Development

HarmonyOS AI Coding: Dual-Engine Tooling, Three-Loop Harness, and Four-Layer Verification

Huawei details its dual-engine AI coding strategy for HarmonyOS — DevEco Code with a three-loop Harness (syntax, compile, UI intent) and DevEco CLI with atomic commands, a 20M-token knowledge base, 70+ Skills, and a four-level Skill router — plus a four-layer verification stack achieving 80%+ crash-fix rates.

AI agent workflowAI codingArkTS
0 likes · 16 min read
HarmonyOS AI Coding: Dual-Engine Tooling, Three-Loop Harness, and Four-Layer Verification
Model Perspective
Model Perspective
Sep 20, 2026 · Fundamentals

Why Modeling Needs Category Theory: Turning 'Is This Model Right?' into Commutative Diagrams

This article explains how category theory addresses three core modeling challenges—verifying correctness, composing models, and maintaining consistency across abstraction layers—by using commutative diagrams to define model validity, functors to preserve structure across representations, and pullbacks to enforce interface compatibility, with examples from numerical analysis, unit conversion, and fluid-structure coupling.

category theorycommutative diagramscompositional modeling
0 likes · 12 min read
Why Modeling Needs Category Theory: Turning 'Is This Model Right?' into Commutative Diagrams
HarmonyOS Developer Technology
HarmonyOS Developer Technology
Aug 28, 2026 · Artificial Intelligence

SpecArtisan: Turning Requirements into Verifiable Contracts for AI Coding Agents

SpecArtisan addresses requirement understanding deviations in AI-assisted development by converting natural language requirements into structured, verifiable design contracts with Hoare-style pre/post conditions and branch scenarios, employing mechanical verification for structural integrity and semantic checking for behavioral correctness while producing four core artifacts.

AI coding agentsAI-assisted developmentHoare logic
0 likes · 9 min read
SpecArtisan: Turning Requirements into Verifiable Contracts for AI Coding Agents
Chengwu Tech Stack
Chengwu Tech Stack
Aug 7, 2026 · R&D Management

Beyond 'Tests Passed': A Four-Layer Acceptance Framework for AI-Generated Code

This article argues that AI-generated code passing tests is insufficient for delivery, proposing a four-layer acceptance framework—functional, regression, risk, and business verification—backed by a six-part evidence chain and risk-based quality gates to ensure reliable, auditable software releases.

AI-assisted developmentacceptance testingdelivery checklist
0 likes · 19 min read
Beyond 'Tests Passed': A Four-Layer Acceptance Framework for AI-Generated Code
TonyBai
TonyBai
Jul 30, 2026 · Industry Insights

Why Code Generation Is No Longer the Bottleneck—Verification Is the Real Challenge

At a three‑day Thoughtworks summit in Engelberg, senior engineers agreed that AI‑driven code generation has become abundant, while the true bottleneck now lies in verification, governance, and maintaining human judgment across legacy modernization, token economics, and organizational practices.

AI code generationHarness engineeringLegacy Modernization
0 likes · 29 min read
Why Code Generation Is No Longer the Bottleneck—Verification Is the Real Challenge
AI Tech Publishing
AI Tech Publishing
Mar 20, 2026 · Artificial Intelligence

Why Agent Harnesses and Coding Aren’t the Real Competitive Edge

The article argues that while AI agents can now generate code cheaply, the true competitive advantage lies in reducing cost and speed, and that elaborate harness engineering and coding optimizations offer little economic benefit compared to solid verification practices like testing, CI, and clear contracts.

AI AgentsHarness engineeringLLM productivity
0 likes · 8 min read
Why Agent Harnesses and Coding Aren’t the Real Competitive Edge
php Courses
php Courses
Jan 16, 2026 · Artificial Intelligence

From Coding to Validation: How AI Is Redefining the Developer’s Role

The rise of large language models has shifted software development from manual coding to AI‑generated drafts, making verification, security, and business alignment the core responsibilities of modern engineers, and outlining the skills, workflows, and challenges needed to thrive in this new paradigm.

AILLMSoftware Engineering
0 likes · 11 min read
From Coding to Validation: How AI Is Redefining the Developer’s Role