#white box testing
146 related articles
·7 min
The Complete Guide to LLM Application Engineer Interviews: Six High-Frequency Agent Topics
A focused guide to core LLM application engineer interview topics, covering agent architecture, Multi-Agent, Langfuse evaluation, security, and RAG optimization.
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·6 min
Tongyi Qianwen Qwen-Image-3.0: The Leap of AI Image Generation from Toy to Productivity Tool
Tongyi Qianwen Qwen-Image-3.0 image generation model gets a comprehensive upgrade: supporting 4,500-token ultra-long instructions, pixel-level detail rendering, 12-language knowledge understanding, and ancient painting restoration. This article analyzes its three core capabilities.
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·7 min
Harness Engineering: Why a Powerful Model Isn't Enough — Here's What Really Matters
A data-deletion disaster reveals the biggest AI Agent risk: the problem isn't the model, it's Harness design. Learn context management, process standards, and permission isolation.
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·2 min
Claude Sonnet 5 Deep Dive: Near-Opus Performance but Higher Costs — Is It Worth the Upgrade?
Claude Sonnet 5 benchmarked: near-Opus 4.8 performance but poor token efficiency makes it pricier than the flagship. Full analysis of pricing, safety tradeoffs, and real-world results.
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·7 min
Claude Code Practical Tutorial: A Complete Beginner's Guide to Automating Your Entire Workflow
No coding required! This guide breaks down the complete Claude workflow: custom Projects, batch SEO content, one-sentence tool building with Artifacts, and Claude Code terminal ops—with real traffic-growth cases.
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·4 min
Self-Healing Agent Loops: Using AI to Automatically Discover and Fix Programming Language Bugs
How Boundary built a self-healing AI Agent loop that automatically writes BAML code, discovers bugs, and generates fix PRs — a practical software factory with deduplication, human-in-the-loop leverage points, and extensible multi-loop design.
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·2 min
Waveloom: An Open-Source Terminal AI Coding Agent Deeply Optimized for DeepSeek
Waveloom is an open-source terminal coding Agent deeply optimized for DeepSeek, with cache hit rates near 99% to drastically cut token costs. Supports Linux, Windows, macOS, and Claude Code Skills.
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·3 min
ChatCut × Codex Hands-On: Can AI Agent Edit Your Video With a Single Prompt?
Hands-on test of ChatCut AI video editor: Codex plugin support, auto filler removal, MG animation & subtitle generation. Full workflow test on a 3min 20sec video.
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·3 min
Deep Dive into ChatGPT Ultra's Parallel Sub-Agent Architecture: Parameters, Configuration, and Best Practices
A deep dive into ChatGPT Ultra mode's parallel sub-agent architecture, covering concurrency limits, delegation depth, token optimization, and configuration best practices for GPT-5.6.
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·2 min
Kova: The Open-Source Tool for Building Presentations with Markdown
Kova is an open-source Markdown presentation tool for developers. With Git support and content-style separation, it hit 250 GitHub Stars in just three weeks.
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·3 min
GPT-5.6 and ChatGPT Work Launch: AI Evolves from Conversational Assistant to Task Executor
OpenAI launches the GPT-5.6 family (Sol/Terra/Luna), ChatGPT Work, a new desktop app, and Hosted Sites — marking AI's evolution from Q&A assistant to autonomous task executor.
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·6 min
AI Agent Security in Practice: 7 Attack Techniques and a Five-Layer Defense System
An in-depth breakdown of the 7 major attack techniques against AI agents (prompt injection, data poisoning, image attacks, etc.) and a five-layer defense system, with real cases from Doubao and DeepSeek.
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·6 min
GPT-5.6 Sol Hands-On: How Multi-Agent Parallelism Is Reshaping AI Coding Workflows
Based on Fireship's review, an in-depth look at GPT-5.6 Sol's Ultra Mode multi-agent parallelism, its 91.9% Terminal Bench score, and how it differs from Claude Fable in cost, speed, and precision.
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·5 min
GPT-5.6 Launches: Comprehensive Upgrades to ChatGPT Work, Sites, and Desktop Client
OpenAI releases the GPT-5.6 model family, launching enterprise-focused ChatGPT Work, one-click ChatGPT Sites, and a major desktop client upgrade, with coding now ahead of rivals. Meta, Google, and Kimi follow intensively.
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·4 min
The Boundaries of AI Safety Guardrails: Deep Reflections Sparked by a Single Prompt
A Reddit post sparks debate: what happens when a user asks AI to "push guardrails to the limit"? An in-depth look at AI safety guardrails, jailbreaks, and content balance.
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·3 min
Cognitive Debt in the Age of AI Programming: Comprehension Is the Real Bottleneck
When AI generates massive amounts of code in short time, the developer's real challenge isn't computing power but comprehension. This article explores "cognitive debt" in the AI programming era.
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·4 min
How Background AI Agents Can Automatically Maintain All Your Repositories on a Schedule
OpenInspect's Multi-Repo Automations lets AI coding agents maintain up to 10 repositories on a schedule simultaneously — isolated sessions, independent PRs, and fault-tolerant execution for security sweeps, dependency upgrades, and framework migrations.
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·6 min
GPT-5.6 Officially Approved for Release: How National Security Review Is Reshaping the AI Launch Process
OpenAI's flagship GPT-5.6 was delayed by national security review before winning U.S. government approval. An in-depth look at the Sol, Terra, and Luna model lineup and the emerging AI regulatory regime.
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·6 min
Connecting SQL Projects to Azure DevOps Pipelines: A Hands-On Guide to Automated Builds and Secure Deployment
Learn how to connect SSMS SQL projects to an Azure DevOps CI/CD pipeline—covering YAML build config, SQL code quality analysis, managed identity authentication, and dynamic firewall rules for secure Azure SQL deployment.
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·6 min
Bernanke Joins the Anthropic Trust: A Breakthrough Approach to AI Corporate Governance
Former Fed Chair Bernanke joins Anthropic's Long-Term Benefit Trust, marking AI governance's entry into the era of cross-disciplinary experts. A deep look at Anthropic's unique trust structure and its impact on responsible AI.
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