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Latest from Architect

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Architect

Mar 22, 2026 · Artificial Intelligence

Can Frozen LLMs Keep Learning? Inside Memento‑Skills' Deployment‑Time Learning

The article analyses the Memento‑Skills paper and its open‑source implementation, showing how a frozen large language model can continuously improve by treating skills as external memory, using a five‑step Observe‑Read‑Act‑Feedback‑Write loop, advanced routing, and modular architecture to achieve significant gains on GAIA and HLE benchmarks.

AI ArchitectureAgentDeployment-Time Learning

0 likes · 21 min read

Can Frozen LLMs Keep Learning? Inside Memento‑Skills' Deployment‑Time Learning

Architect

Mar 20, 2026 · Artificial Intelligence

How OpenAI Turns Repository Tasks into Automated AI‑Powered Workflows

The article analyses OpenAI’s approach to embedding AI‑driven Skills into a repository’s workflow—using AGENTS.md, scripts, and GitHub Actions—to automate repetitive engineering actions, improve PR throughput, and accelerate open‑source maintenance while keeping clear boundaries between model reasoning and deterministic scripts.

CI/CDWorkflow Engineeringopen-source

0 likes · 23 min read

How OpenAI Turns Repository Tasks into Automated AI‑Powered Workflows

Architect

Mar 18, 2026 · Artificial Intelligence

Why Prompt Caching Is More Than a Cost‑Saving Trick: It Shapes Agent Architecture

The article explains that Prompt Cache is not merely a way to reduce token costs, but a fundamental mechanism that forces developers to redesign the context management of long‑running AI agents, turning caching considerations into core architectural decisions.

Context EngineeringPrompt Cachinglarge language models

0 likes · 25 min read

Architect

Mar 17, 2026 · Artificial Intelligence

Why Your OpenClaw Bot Doesn’t Reply: Diagnose the 5 Hidden Layers

The article explains that most OpenClaw issues stem from mixing up five core layers—channel, account, agent, session, and memory—and provides a step‑by‑step troubleshooting guide to isolate the problem, verify each layer, and configure the system for reliable responses.

ChatbotDebuggingMessage Routing

0 likes · 17 min read

Why Your OpenClaw Bot Doesn’t Reply: Diagnose the 5 Hidden Layers

Architect

Mar 15, 2026 · Artificial Intelligence

Mastering Claude Code: A Proven Workflow to Keep AI Agents Stable

This article outlines a practical, step‑by‑step workflow for Claude Code that starts with defining acceptance criteria, correctly layering context, selecting the right execution channel, enforcing system‑level constraints, and actively managing long sessions, turning experimental AI agents into reliable engineering tools.

AI AgentsClaude CodeContext management

0 likes · 27 min read

Mastering Claude Code: A Proven Workflow to Keep AI Agents Stable

Architect

Mar 14, 2026 · R&D Management

How Coding Agents Shift Software Teams from Implementation to Judgment

The article explains how coding agents dramatically lower implementation costs, turning the bottleneck in engineering, product, and design collaborations from building code to making high‑quality judgments, reviewing, and context hand‑offs.

AIProduct Designarchitecture

0 likes · 26 min read

How Coding Agents Shift Software Teams from Implementation to Judgment

Architect

Mar 13, 2026 · Artificial Intelligence

Why Claude Code Fails Without Proper Governance and How to Build a Stable Agentic Coding System

The article explains that Claude Code’s core challenges lie not in prompts but in treating it as a verifiable, governed, layered agent system, and provides a detailed six‑layer architecture, practical governance tips, and step‑by‑step guidance for teams to achieve stable, production‑grade AI‑assisted coding.

AI OpsClaude Codeagentic AI

0 likes · 30 min read

Why Claude Code Fails Without Proper Governance and How to Build a Stable Agentic Coding System

Architect

Mar 11, 2026 · Artificial Intelligence

How OpenClaw Manages Context: Multi‑Layer Compression, Memory Persistence, and Overflow Recovery

This article explains OpenClaw's sophisticated context‑management system, detailing its three‑layer approach to pruning old turns, trimming tool results, and handling oversized outputs, while preserving critical state through memory flushing, structured compaction, and a robust overflow‑recovery pipeline.

LLM Agentscompressionmemory persistence

0 likes · 29 min read

How OpenClaw Manages Context: Multi‑Layer Compression, Memory Persistence, and Overflow Recovery

Architect

Mar 10, 2026 · Artificial Intelligence

How OpenAI’s Harness Engineering Lets Agents Write 1 Million Lines of Code Without Human Hands

OpenAI’s engineering blog reveals that their "Harness Engineering" approach doesn’t replace programmers but instead creates a tightly controlled environment where AI agents autonomously generate, test, review, and merge code by designing the environment, defining clear intent, and building feedback loops, shifting engineers from writing code to steering agents.

AI AgentsHarness Engineeringcode generation

0 likes · 22 min read

How OpenAI’s Harness Engineering Lets Agents Write 1 Million Lines of Code Without Human Hands

Architect

Mar 8, 2026 · Information Security

Why OpenClaw’s Soft Boundaries Spark Security Disasters – Lessons for AI Agents

This article reviews recent OpenClaw security incidents, from a high‑profile email‑deletion failure caused by context compaction to supply‑chain attacks on Skills, analyzes the underlying architectural flaws of soft boundaries and missing execution‑time safeguards, and proposes a three‑layer hardening framework for AI agents.

AI Agent SecurityContext CompactionOpenClaw

0 likes · 19 min read

Why OpenClaw’s Soft Boundaries Spark Security Disasters – Lessons for AI Agents