Agentic AI,Intelligent Enterprise Architecture Discovery and Optimization
This document explores an advanced application of Agentic Knowledge Platform, enabling enterprises to automatically discover, debate, and op…
This document explores an advanced application of Agentic Knowledge Platform, enabling enterprises to automatically discover, debate, and op…
This content describes a system using Agentic Knowledge Platform to automatically discover, debate, and optimize enterprise AI architectures…
This analysis argues that artificial intelligence may not reward builders directly, but instead concentrate wealth among those who own key r…
A technical overview of A2UI, outlining its architecture, capabilities, and the shift it enables in designing agent-driven applications.
This article explores the shift in thinking required to successfully integrate AI into enterprise systems, arguing for the adoption of the '…
This article explores the critical role of memory in building effective agentic systems, highlighting the evolution from simple prompting to…
This article explores a technical architecture and agentic system designed to transform raw information into actionable intelligence and opt…
Agentic systems are gaining traction, but their inherent non-determinism poses a significant challenge for production environments. This doc…
Agentic systems, particularly in autonomous enterprise backends, are fundamentally a distributed systems challenge rather than a workflow pr…
BettaFish is an open-source framework that orchestrates multiple AI agents to analyze public opinion across diverse social platforms by synt…
This article argues that agent-to-agent communication should be treated as events of record, advocating for the use of CloudEvents to addres…
A 25,000-run study reveals that the most effective multi-agent systems prioritize coordination protocols and runtime specialization over rig…
The article argues that the common 'Observe-Decide-Act-Reflect' agent loop is a flawed architectural choice for long-running agentic systems…
This document outlines a system for banks to leverage PESTEL analysis by treating it as a continuously evolving, event-driven process, power…
This document explores the architecture, design considerations, and potential pitfalls of building robust and adaptable LLM harnesses. It em…
This document details the design and key considerations for an adaptive underwriting system, leveraging probabilistic inference and dynamic…
This article explores the shift from traditional code editors to AI-powered 'coding machines,' driven by advancements in AI agents and the n…
Kafka is a powerful message bus and distributed log, but it's not an event-driven platform in itself. The key is that Kafka alone doesn't pr…
As AI transitions from model to application and infrastructure problems, Kubernetes emerges as a credible foundation for agentic systems—dyn…
This document outlines the key considerations and architectural principles for effectively utilizing LLMs as judges within multi-agent syste…
MCP gateways are crucial infrastructure for enterprises deploying agentic systems, providing governance, security, observability, and compli…
In 2026, 'AI agents' are moving beyond chatbots with amnesia by utilizing a layered memory architecture treated as a distributed systems pro…
MiroFish is an open-source multi-agent swarm intelligence prediction engine that constructs high-fidelity parallel digital worlds populated…
This document outlines the architecture and strategic challenges involved in building AI systems capable of capturing value and preventing l…
This analysis explores the pitfalls of the Model Context Protocol (MCP), highlighting a recurring pattern in technology adoption: prioritizi…
This piece argues against the increasing trend of using terminal UIs and chat panes as the primary interfaces for AI systems, asserting that…
CloudEvents provides a standardized format for describing event data, enabling interoperability and flexibility in agent communication syste…
This article details a technical architecture designed to enable AI systems to autonomously identify and capitalize on real-time market oppo…
This article explores the emerging trend of 'Agent-Native Software,' a paradigm shift where software is designed to be operated by AI agents…
This article argues that many AI agent prompts, despite appearing sophisticated, are examples of 'cargo-cult engineering' – mimicking the ap…
This content analyzes the rise of headless SaaS, explaining it as a broader architectural shift where business capability is separated from…
A comprehensive overview of the headless SaaS trend, including economic implications, predictions, and a landscape summary.
GitOps transforms software delivery by using Git as the single source of truth for system state, enabling automated, safe, and invisible cha…
PageIndex offers a vectorless approach to Retrieval-Augmented Generation (RAG) for software engineers, treating retrieval as a structured re…
This article explores how to use Textual to create a rich, interactive terminal UI for Cookiecutter, transforming project scaffolding into a…
Textual is a modern Python framework designed for building interactive terminal user interfaces (TUIs), offering a structured and expressive…
This article reverse-engineers Anthropic's Claude's architecture, detailing its 200K token context window, persistent memory, and safe tool…
This document analyzes the limitations of Anthropic's Claude Code, revealing issues such as hallucination, context death, and restrictive ar…
HeadGym is an enterprise-grade event-driven execution platform designed for organizations needing to combine deterministic systems with agen…
Despite a proliferation of systems, most organizations struggle to understand what’s happening across their business in real-time. This arti…
Agentic systems are gaining traction, but their inherent non-determinism poses a challenge for production environments. This document argues…
This article explores the problem of how information is accumulated in deep Transformer models, particularly Large Language Models. It intro…
This article explores the emerging trend of audio-first AI, where workflows are transformed by conversational AI assistants that handle task…
This article explores how modern coding agents leverage optimized regex searching, particularly through the Cursor indexing system, to drama…
This platform ingests and aggregates internal and external events into a single operational signal, providing a live heartbeat for analysis,…
MemPalace is a local-first memory system designed to preserve raw context, organize it structurally, compress it intelligently, and make it…
This article explores a new approach to agentic workspaces—using specialized sub-agents and teams of them—to address the limitations of the…
This document chronicles the remarkable journey of digital note-taking, from the visionary ideas of the 1960s to the AI-powered knowledge sy…
This document outlines a shift in AI system design, advocating for the persistent management of structured work artefacts, specifically task…
Palantir's unusual growth and business model stem from its 'Forward-Deployed Engineers' – engineers embedded directly within client organiza…
This document argues against the current trend of using terminal interfaces for AI interaction, advocating for more sophisticated and adapta…