#multi-step engineering
1442 related articles
·3 min
AI Coding Agents Developing Decompilers: Lessons and Insights from the Kuna Project
How AI coding agents are transforming decompiler development. Using the Kuna project as a case study, exploring AI-assisted iteration, generate-verify loops, and the lowering barriers to complex system tool development.
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·2 min
How Much Work Can You Delegate to AI Agents? A Complete Guide to Delegation Boundaries and Trust Strategies
Explore AI agent delegation boundaries: from code completion to autonomous agents across three levels, analyzing verifiability, error costs, and context to build pragmatic trust strategies.
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·3 min
Self-Hosting Kimi K3: Is Spending 20% More on Hardware Worth a 20% Improvement in Task Performance?
Analysis of whether spending 20% more on hardware for self-hosting Kimi K3 to gain 20% task performance improvement is worthwhile, covering inference precision, VRAM optimization, and tiered deployment.
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·4 min
Full Anatomy of AI Agent Intrusion Attack Chains: From Prompt Injection to Data Exfiltration
Deep analysis of Hugging Face's frontier lab AI agent intrusion report, covering indirect prompt injection, lateral movement, data exfiltration, and defense-in-depth strategies for AI agent security.
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·3 min
Starling Project Analysis: Can AI Independently Write a Complete Desktop System?
Starling claims to be the first desktop system written by AI. This article analyzes technical complexity, AI coding limitations, and engineering feasibility.
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·4 min
Pure Vibecoding Builds a 130+ Card Multiplayer CCG: Full AI Tech Stack Breakdown
An indie dev built a 130+ card multiplayer CCG entirely through vibecoding with Claude Code, GPT, and ElevenLabs. Full AI tech stack breakdown and analysis of vibecoding's capabilities and limits.
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·2 min
OpenWork: Open-Source Alternative to Claude Cowork with 17,000+ Stars
OpenWork is an open-source alternative to Claude Cowork built on opencode with TypeScript. With 17,000+ GitHub stars, it offers data privacy, flexible model switching, and deep customization.
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·3 min
LLMOps Tool Selection Guide: An In-Depth Comparison of Tracing, Evaluation, and Governance Capabilities
In-depth analysis of LLMOps tool selection, comparing Langfuse, LangSmith, Helicone, and Orq.ai across tracing, evaluation, and governance capabilities with practical recommendations.
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·3 min
Does Yelling at AI Actually Work? Lessons on Human-AI Communication from a Reddit Meme
More people are yelling at ChatGPT out of frustration. This article explores the psychology behind it and shares effective AI communication strategies for better results.
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·3 min
Does Yelling at AI Actually Work? Lessons on Human-AI Communication from a Reddit Meme
More people are scolding ChatGPT out of frustration. This article analyzes why from psychology and tech perspectives, and shares smarter AI communication strategies.
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·3 min
Gemini Managed Agents API Update: Environment Hooks and Free Tier Fully Explained
Google Gemini Managed Agents API introduces environment hooks, model selection, free tier support, and default model upgrades—empowering AI Agent developers with stronger execution control and lower barriers to entry.
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·3 min
Is Useful AI Just a Fantasy? A Deep Examination of Expectations vs. Reality
As AI hype sweeps the globe, have our expectations far exceeded reality? This article examines the demo-vs-production gap, self-reinforcing capital narratives, and cognitive biases to provide a sober framework for judging AI's true utility.
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·2 min
Bun Now Generates CLAUDE.md by Default: The AI-Native Development Era Has Arrived
Bun runtime now generates a CLAUDE.md file by default with bun init, signaling AI assistants becoming first-class citizens in the development toolchain.
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·3 min
Lessons from Claude Code's 80% Prompt Reduction: Less Is More in Prompt Engineering
Anthropic cut Claude Code's system prompt by 80% and got better performance. Learn why verbose prompts hurt, how to streamline them, and key takeaways for AI developers.
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·3 min
Lessons from Claude Code's 80% Prompt Reduction: Less Is More in Prompt Engineering
Anthropic cut Claude Code's system prompt by 80% and got better results. Learn why verbose prompts hurt performance, how to streamline them, and key lessons for AI developers.
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·3 min
Discovering Cryptographic Vulnerabilities with Claude: A New Paradigm for AI-Assisted Security Research
How Anthropic's Claude assists in discovering cryptographic implementation vulnerabilities, analyzing AI's real capabilities and limitations in code review, side-channel detection, and protocol analysis.
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·2 min
If AI Writes All the Code, What's Left for Programmers?
AI coding tools are spreading fast—so where does programmer value lie? This article analyzes three key role shifts: from writer to reviewer, implementer to designer, and lone wolf to coordinator.
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·4 min
Microsoft Open-Sources AI Agent Governance Toolkit: Comprehensive Coverage of OWASP Top 10 Risks
Microsoft open-sources agent-governance-toolkit covering all OWASP Agentic Top 10 risks through policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for production AI Agent deployment.
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·5 min
July 24 AI Daily Brief: Flux 3 Multimodal Release, Kimi K3 Lags in Testing, Qwen Tops TTS Rankings
July 24 AI news: Black Forest Labs launches Flux 3 multimodal model, Kimi K3 lags in US-UK gov tests, Alibaba Qwen tops TTS rankings, Etched raises $300M, AMD unveils MI430X.
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·2 min
Kimi 3 Added to Pro Subscription: Accelerating Commercialization of Chinese LLMs
Kimi 3 joins the Pro subscription plan, giving paying users direct access to the latest flagship model. Analysis of Kimi 3's upgrades, Moonshot AI's subscription strategy, and China's evolving LLM landscape.
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