Governing the Swarm: Config-Driven Control Plane for Human-in-the-Loop Multi-Agent Systems at Scale Post date July 30, 2026 Post author By Karthick Sundaram Post categories In agent-orchestration, agentic-ai-swarm, ai-agent, ai-system-design, enterprise-ai-agents, event-driven-architecture, human-in-the-loop-ai, multi-agent-systems
Building Governance-as-Code for Enterprise AI Systems Post date May 26, 2026 Post author By Tosin Ayodele Post categories In ai-engineering, ai-governance, ai-runtime-monitoring, ai-system-design, enterprise-ai, governance-as-code-ai, policy-as-code, responsible-ai
Meet the Writer: Hacker Noon’s Contributor Vineet Vijay, Lead AI Engineer Post date May 25, 2026 Post author By HackerNoon Writers Spotlight Post categories In ai-engineering, ai-system-design, embedding-models, hackernoon-interview, machine-learning-production, meet-the-writer, retrieval-augmented-generation, vector-databases
AI Coding Tools Are Creating Systems Nobody Fully Understands Post date May 25, 2026 Post author By David Iyanuoluwa Jonathan Post categories In ai-coding-assistants, ai-coding-technical-debt, ai-system-design, codebase-complexity, engineering-governance, platform-engineering, software-architecture, software-maintainability
Your AI Agent Processed That Invoice. So Did the Attacker Post date May 22, 2026 Post author By Abhi Post categories In ai-agent-secruity, ai-runtime-security, ai-security, ai-system-design, ai-workflow-security, data-exfiltration, owasp-ai, prompt-injection
Your AI Agent Processed That Invoice. So Did the Attacker Post date May 22, 2026 Post author By Abhi Post categories In ai-agent-secruity, ai-runtime-security, ai-security, ai-system-design, ai-workflow-security, data-exfiltration, owasp-ai, prompt-injection
Our First Mistake Was Treating LLMs Like APIs Post date May 12, 2026 Post author By Sai Chaitanya Paidi Post categories In ai-architecture, ai-observability, ai-orchestration, ai-system-design, enterprise-ai-architecture, fine-tuning-llms, production-ai-systems, prompt-caching
The Trade-Off Between Speed and Reliability in Modern AI Systems Post date May 5, 2026 Post author By Harsh Verma Post categories In ai-agent-workflow, ai-reliability, ai-risk-management, ai-system-design, ai-system-failures, business-process-automation, generative-ai-efficiency, production-ready-ai
System Prompts Under the Hood: How LLMs Learn to Follow Instructions Post date May 1, 2026 Post author By Ivan Smirnov Post categories In agentic-systems, ai, ai-agents, ai-engineering, ai-system-design, deep-dive, generative-ai, llm
Building a Multi-Agent AI System in Python for More Reliable Outputs Post date April 27, 2026 Post author By Chidiebere Njoku Post categories In agentic-ai, ai-agents-workflow, ai-reasoning-systems, ai-system-design, llm-orchestration, multi-agent-ai-systems, python-ai-agents, rag-architecture
When to Use an AI Agent vs a Simple LLM Call Post date April 23, 2026 Post author By Praveen Kumar Myakala Post categories In agentic-ai-complexity, ai-agents, ai-agents-vs-llm, ai-decision-frameworks, ai-system-design, llm-vs-agent-architecture, llm-workflows, when-to-use-ai-agents
25 Things the Claude Code Leak Reveals About Anthropic’s AI Agents Post date April 21, 2026 Post author By thecuriousdev Post categories In ai-agent-architecture, ai-dev-tools, ai-system-design, claude-code, claude-code-analysis, claude-code-features, claude-code-leak, claude-internals
Stateless AI Agents Are the Real Problem Post date April 21, 2026 Post author By Abhilash Pakalapati Post categories In agentic-engineering, ai-agent-workflows, ai-agents-with-memory, ai-debugging-agents, ai-system-design, designing-an-agent, neural-memory, stateless-ai-agents
Why Your AI System Can Look Healthy While Producing Zero Value Post date April 14, 2026 Post author By Lab42AI Post categories In agent-observability, ai-agent-failure-modes, ai-agents, ai-system-design, ai-system-reliability, llm-memory-systems, local-llm-limitations, vector-database-retrieval
Why Your AI System Can Look Healthy While Producing Zero Value Post date April 14, 2026 Post author By Lab42AI Post categories In agent-observability, ai-agent-failure-modes, ai-agents, ai-system-design, ai-system-reliability, llm-memory-systems, local-llm-limitations, vector-database-retrieval
You Are Part of the Harness: Building a 100+ Agent Swarm in Web3 (Part 4) Post date April 14, 2026 Post author By John P Post categories In agentic-engineering, ai-coding-tools, ai-coding-workflow, ai-system-design, developer-productivity, dry-vs-dryp, dryp, vibe-coding
You Are Part of the Harness: Building a 100+ Agent Swarm in Web3 (Part 4) Post date April 14, 2026 Post author By John P Post categories In agentic-engineering, ai-coding-tools, ai-coding-workflow, ai-system-design, developer-productivity, dry-vs-dryp, dryp, vibe-coding
Why LLMs Alone Can’t Migrate Your Legacy Code, and What I Built Instead Post date April 13, 2026 Post author By Rejin Jose K Post categories In ai-deterministic-systems, ai-system-design, code-migration, generative-ai-engineering, legacy-code-modernization, llm-code-migration, pyspark-automation-tools, sas-to-pyspark-migration
Prompt Engineering Will Always Matter (Just Not How You Think) Post date November 26, 2025 Post author By Sudheer Post categories In ai-alignment, ai-prompt-optimization, ai-system-design, ai-workflows, context-engineering, generative-ai, llms, prompt-engineering
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