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Architect

Professional architect sharing high‑quality architecture insights. Topics include high‑availability, high‑performance, high‑stability architectures, big data, machine learning, Java, system and distributed architecture, AI, and practical large‑scale architecture case studies. Open to ideas‑driven architects who enjoy sharing and learning.

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Architect
Architect
May 16, 2026 · Artificial Intelligence

Turning Massive Codebases into Agent‑Ready Workspaces with Claude Code

The article analyzes how Claude Code can operate reliably in monorepos and large codebases by reorganizing the repository into an agent‑friendly environment, detailing the seven‑step agentic loop, the role of CLAUDE.md, LSP navigation, Subagents, and a three‑layer architecture that balances context, execution, and governance.

AI AgentsAgentic SearchCLAUDE.md
0 likes · 30 min read
Turning Massive Codebases into Agent‑Ready Workspaces with Claude Code
Architect
Architect
May 15, 2026 · Artificial Intelligence

Why Codex, Claude Code, and Hermes All Adopt /goal: Turning Prompt Goals into Runtime Agent Interfaces

From late April to mid‑May, OpenAI Codex, Claude Code, and Hermes each introduced an explicit /goal capability that transforms a one‑sentence prompt into a managed runtime object, enabling long‑running agents to maintain state, validation, budget, and pause/resume control within the Agent Harness.

AI AgentsAgent HarnessClaude Code
0 likes · 21 min read
Why Codex, Claude Code, and Hermes All Adopt /goal: Turning Prompt Goals into Runtime Agent Interfaces
Architect
Architect
May 14, 2026 · Artificial Intelligence

Why Codex /goal Goes Beyond Simple Looping for Long‑Running Agents

The article dissects Codex’s /goal feature, showing how it adds persistent goal objects, a runtime lifecycle, completion auditing and budget handling, turning long‑running agents from a simple repeat‑loop into a robust, state‑driven engineering workflow.

CodexCompletion AuditGoal Management
0 likes · 20 min read
Why Codex /goal Goes Beyond Simple Looping for Long‑Running Agents
Architect
Architect
May 11, 2026 · Artificial Intelligence

How CLAUDE.md Cut Claude Code Errors from 41% to 3% – What Really Changed?

The author reports a personal experiment where adding a concise CLAUDE.md file to 30 repositories reduced Claude Code's error rate from 41% to 3%, explains why such a tiny contract influences agent behavior, expands the original four Karpathy rules into twelve practical guidelines, and offers concrete advice on writing, structuring, and maintaining effective CLAUDE.md files.

AI AgentsCLAUDE.mdClaude Code
0 likes · 23 min read
How CLAUDE.md Cut Claude Code Errors from 41% to 3% – What Really Changed?
Architect
Architect
May 10, 2026 · Artificial Intelligence

Long‑Running Agents: From Ralph Loop to Hand‑over‑Ready Harness

The article analyzes the challenges of long‑running AI agents, showing that persistence alone is insufficient and that reliable hand‑over requires explicit specifications, external state files, drift mitigation, sub‑agents, and a verifiable evidence chain to keep the work understandable for the next model or human.

AI AgentsContext EngineeringHarness
0 likes · 25 min read
Long‑Running Agents: From Ralph Loop to Hand‑over‑Ready Harness
Architect
Architect
May 8, 2026 · Artificial Intelligence

From Code Retrieval to Context Operations: The Next Architecture Shift in AI Programming

The article argues that AI programming is moving from asking whether models can write code to whether agents can autonomously locate, read, modify, execute, and verify context within real engineering environments, emphasizing the migration of context control from pre‑processing pipelines to agentic loops and the need for a robust harness.

AI codingAgentic SearchClaude Code
0 likes · 22 min read
From Code Retrieval to Context Operations: The Next Architecture Shift in AI Programming
Architect
Architect
May 7, 2026 · Artificial Intelligence

From Code Generation to Harnessing Non‑Determinism: Martin Fowler’s AI Development Insight

Martin Fowler argues that the biggest shift in AI‑driven software development is no longer about making models write code, but about integrating the inherent non‑determinism of AI into a verifiable, rollback‑capable engineering pipeline—what he calls Harness engineering—to preserve reliability and governance.

AIHarness EngineeringMartin Fowler
0 likes · 25 min read
From Code Generation to Harnessing Non‑Determinism: Martin Fowler’s AI Development Insight
Architect
Architect
May 6, 2026 · Artificial Intelligence

Boris Cherny on How Development Tools Are Shifting from IDEs to Agent Consoles

In a Sequoia AI Ascent 2026 interview, Boris Cherny explains that AI‑driven coding tools like Claude Code are moving the focus of development from the IDE cursor to managing autonomous agents, requiring engineers to redesign goals, permissions, risk‑approval and verification processes, while reshaping SaaS entry points, team topology and organizational workflows.

AI AgentsAgentic DevelopmentClaude Code
0 likes · 24 min read
Boris Cherny on How Development Tools Are Shifting from IDEs to Agent Consoles
Architect
Architect
May 5, 2026 · Artificial Intelligence

From Anthropic to Google: Agent Skills Enter the Design‑Pattern Era

Google Cloud Tech’s recent article outlines five Agent Skill design patterns, building on Anthropic’s earlier work that standardized Skill format and loading, and shows how the community is shifting from merely defining Skill syntax to engineering robust, reusable workflow structures for AI agents.

AI engineeringAgent skillsDesign Patterns
0 likes · 25 min read
From Anthropic to Google: Agent Skills Enter the Design‑Pattern Era