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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 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
Architect
Architect
May 4, 2026 · Artificial Intelligence

What Skills Architects Must Master in the Agent Era and Which Will Last Six Months

In the fast‑changing Agent era, architects should focus on durable engineering capabilities—context management, tool design, evaluation, harness, permissions, and cost control—rather than chasing the latest frameworks, ensuring agents remain stable and controllable in production systems.

AI agentsContext ManagementHarness
0 likes · 26 min read
What Skills Architects Must Master in the Agent Era and Which Will Last Six Months
Architect
Architect
May 3, 2026 · Artificial Intelligence

Why the Same Model Feels Different in Coding Agents: Model Sets the Capability Ceiling, Harness Sets the Production Floor

The article examines how a model defines an agent’s ultimate capabilities while the harness determines its production reliability, detailing continuous evaluation, context‑budgeting, tool‑error classification, multi‑model migration, and SRE‑style engineering practices needed to keep AI coding agents stable and performant.

AI agentsAgent HarnessContext Management
0 likes · 31 min read
Why the Same Model Feels Different in Coding Agents: Model Sets the Capability Ceiling, Harness Sets the Production Floor
Architect
Architect
May 2, 2026 · Backend Development

From a 30‑Minute DIY Agent to Harness as the New Backend – What Gaps Remain for an Agent‑Ready System?

The article examines a minimal 30‑minute Agent loop demo, then analyzes how Harness can serve as the backend by introducing a runtime capability registry, worker lifecycle management, diverse triggers, and unified tracing, outlining four concrete design actions to close the gaps for agent‑ready systems.

AgentBackend ArchitectureCapability Registry
0 likes · 18 min read
From a 30‑Minute DIY Agent to Harness as the New Backend – What Gaps Remain for an Agent‑Ready System?
Architect
Architect
May 1, 2026 · Artificial Intelligence

From Vibe Coding to Agentic Engineering: How AI Is Redefining the Engineer‑Architect Boundary

Karpathy’s 2026 Sequoia AI Ascent interview shows that while Vibe Coding lowers the barrier for rapid prototyping, the emerging Agentic Engineering paradigm pushes AI agents into the full software‑development lifecycle, demanding new control planes, verification, context handling and blurring the line between senior engineers and architects.

AI EngineeringControl PlaneSoftware Architecture
0 likes · 34 min read
From Vibe Coding to Agentic Engineering: How AI Is Redefining the Engineer‑Architect Boundary
Architect
Architect
Apr 30, 2026 · Artificial Intelligence

How Hermes Agent’s Memory System Fixes the Layered Misconception in OpenClaw

The article dissects Hermes Agent’s four‑layer memory architecture—hot memory, session search, skills, and optional Honcho—explaining how each layer’s cost and purpose differ from OpenClaw’s approach, and why careful placement of facts, history, procedures, and user models leads to more stable, cache‑aware agents.

Agent MemoryContext ManagementHermes Agent
0 likes · 25 min read
How Hermes Agent’s Memory System Fixes the Layered Misconception in OpenClaw
Architect
Architect
Apr 29, 2026 · Artificial Intelligence

How Claude Code Subagents Keep Context Clean by Isolating Exploration

Long Claude Code sessions get polluted when exploratory commands, logs, and temporary files share the main window, so Subagents run those steps in independent workspaces, returning only concise results and preserving the main context for decision‑making.

AI agentsAgent HarnessClaude Code
0 likes · 26 min read
How Claude Code Subagents Keep Context Clean by Isolating Exploration
Architect
Architect
Apr 28, 2026 · Artificial Intelligence

Agent Harness Context: Chat Log vs. Workset – How Runtime Management Shapes Long‑Running Agents

The article argues that an agent harness’s context window should be treated as a bounded workset rather than an ever‑growing transcript, and explains how pagination, compression, tool‑output limits, session isolation, and sub‑agent design together determine whether long‑running agents remain reliable and efficient.

Agent HarnessContext ManagementLLM
0 likes · 24 min read
Agent Harness Context: Chat Log vs. Workset – How Runtime Management Shapes Long‑Running Agents