Underrated AI tools for Agentic Coding
A comparison of Trae, Verdent, Goose, and Pi for agentic coding, covering features, model support, use cases, and pricing.
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Evergreen field notes that give the clearest view of how I think about AI, automation, and software architecture.
From Prompts to Topology: Why Graph Engineering Is the Next Enterprise AI Architecture
AI engineering has evolved from improving model inputs to designing the knowledge, workflows, and controls that make AI systems reliable at enterprise scale.
n8n, LangChain, and RAG: A Developer's Guide
A practical guide to combining n8n, LangChain, and RAG to build grounded, AI-powered workflow automations.
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Browse the latest 18 published notes.
01 
Read noteWhat is Photonic Quantum Computing?
Photonic quantum computing utilizes the properties of photons to perform complex computations unlike classical computers. It leverages quantum principles such as superposition and entanglement, offering potential breakthroughs in various industries.
02 Read noteFrom Prompts to Topology: Why Graph Engineering Is the Next Enterprise AI Architecture
AI engineering has evolved from improving model inputs to designing the knowledge, workflows, and controls that make AI systems reliable at enterprise scale.
03 
Read noteHow to Use The Photonic Chip
A comprehensive guide on understanding and utilizing photonic chip technology for improved computing capabilities.
04 
Read noteChat fades, code drifts, and agents guess. I needed one project that solves all three together.
AI software work needs more than memory — it needs a contract. This article explains why I created workspace-memory, a system designed to keep human intent, agent context, and code evidence aligned. Building a contract layer for AI-assisted software work where human intent stays durable, validated, and usable by agents.
05 
Read noteAgentic AI Governance Under the EU AI Act
How IT leaders can govern agentic AI under the EU AI Act with traceability, human oversight, revocation controls, and audit-ready architecture. A practical governance lens for IT leaders deploying autonomous AI systems in regulated environments. The article connects agent identity, auditability, oversight, and compliance readiness.
06 
Read noteYour Competitors Use AI. You Pay the Bill
AI agents are changing how SMEs win by compressing hours of repetitive work into minutes. Leaders who redesign process early gain pricing power and faster customer response loops. This article breaks down where manual friction destroys profit and how to fix it with bridge automations and agent-based execution. Practical, operator-focused, and built for SMEs.
07 
Read noteAI and the Junior Talent Pipeline: What Leaders Must Fix
AI and the Junior Talent Pipeline: What Leaders Must Fix AI is removing many routine tasks that once trained early-career professionals. This creates a structural risk for companies that need future senior talent but under invest in entry-level pathways. Recent labor evidence links higher observed AI exposure to weaker long-term job growth in several knowledge roles. The strategic challenge is balancing efficiency gains with sustainable talent formation. #ArtificialIntelligence #FutureOfWork #DigitalTransformation #EntryLevelHiring #TalentDevelopment #EmploymentTrends
08 
Read noteRAG vs. Long Context: The 2026 Knowledge Access Debate
Explore the 2026 debate on RAG vs. Long Context models and their complementary roles in knowledge access.
09 
Read notePrompt Caching: One of the Most Underrated Optimizations in LLM Systems
Explore the significance of prompt caching in optimizing LLM systems for speed and cost efficiency.
10 
Read noteThe Real AI Revolution Is Not Coding — It Is a Paradigm Shift
The true AI revolution is about a paradigm shift in digital architecture, not just improved coding tools.