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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
Sep 18, 2026 · Artificial Intelligence

What Fermat's Last Theorem Formalization Reveals About Multi-Agent Collaboration

Anthropic's 11-day project formalizing Fermat's Last Theorem in Lean with 30,000 machine-checked theorems exposes five critical patterns for multi-agent systems: verifiable artifacts, dynamic task graphs, evidence-based planning, verification-gated state changes, and recoverable execution state.

Fermat's Last TheoremLean theorem proverMulti-Agent Systems
0 likes · 26 min read
What Fermat's Last Theorem Formalization Reveals About Multi-Agent Collaboration
Architect
Architect
Sep 17, 2026 · Artificial Intelligence

From ReAct to Agent Teams: Verifiable Incremental Value in Medical System Development

This article analyzes multi-agent collaboration patterns in a medical system development task, emphasizing interface contracts, time semantics, testing strategies, and responsibility boundaries to ensure verifiable incremental value when scaling from ReAct loops to Agent Teams.

Agent TeamsHL7 FHIRInterface Contracts
0 likes · 28 min read
From ReAct to Agent Teams: Verifiable Incremental Value in Medical System Development
Architect
Architect
Sep 16, 2026 · Artificial Intelligence

Google Agentic Skills: Survey, Engineering Practices & Lifecycle Framework

This article reviews Google's Agentic Skills survey and engineering practices, covering a formal six-tuple skill definition, three criteria for true skills, a nine-stage lifecycle, security governance, skill debt, conditional benefits, and complementary research on WikiSkill and SKILL.state, concluding with six critical questions for production skill deployment.

Agent ArchitectureAgentic SkillsGoogle
0 likes · 22 min read
Google Agentic Skills: Survey, Engineering Practices & Lifecycle Framework
Architect
Architect
Sep 14, 2026 · Artificial Intelligence

DeepSeek V4.1 Flash Architecture: The State Lifecycle Behind 1M Context

This article dissects DeepSeek V4.1 Flash's architecture for 1M-token context, explaining how CED reduces prefill compute, CSA2 shares global KV across layers, hierarchical sparse indexing narrows search, FP4 quantization shrinks storage, SWA uses bounded replay for recovery, and Engram adds a conditional memory path—revealing five cost dimensions of long-context deployment.

Bounded ReplayCEDCSA2
0 likes · 21 min read
DeepSeek V4.1 Flash Architecture: The State Lifecycle Behind 1M Context
Architect
Architect
Sep 13, 2026 · Artificial Intelligence

Multi-Agent Consistency: Distributed Systems Challenges Return with Autonomous Agents

The article explores four critical questions for multi-agent consistency: task decomposition rationale, structured handoffs with versioned snapshots, conflict resolution via evidence-based contracts, and verifiable completion criteria. It argues multi-agent systems reintroduce classic distributed systems challenges—identity, leases, idempotency, compensation—and require runtime proofs over model assertions.

Agent ArchitectureConsistencyIdempotency
0 likes · 21 min read
Multi-Agent Consistency: Distributed Systems Challenges Return with Autonomous Agents
Architect
Architect
Sep 12, 2026 · Artificial Intelligence

Google's Multi-Agent Research: Task Structure, Not Agent Count, Determines Architecture Value

Google's research on 260 multi-agent configurations across six benchmarks shows centralized architectures improve parallel tasks by 81% but hurt sequential planning by 39-70%. Teamwork framework adds critique-synthesis loops that retain failed branches. The key insight: agent count isn't an architecture metric—task decomposability, verifiable sub-results, and coordination costs should drive design.

AI AgentsAgent ArchitectureGoogle Research
0 likes · 18 min read
Google's Multi-Agent Research: Task Structure, Not Agent Count, Determines Architecture Value
Architect
Architect
Sep 11, 2026 · Artificial Intelligence

DeepSeek Harness Runtime Architecture: Separating Capabilities from Facts via Cordis, Agent Loop & Session

This article analyzes DeepSeek Harness v0.1.2-alpha.2's runtime architecture, explaining how it separates current capabilities (Cordis) from committed facts (Session) with the Agent Loop mediating between them, detailing plugin assembly, turn/step lifecycle, tool execution pipeline, session event logs, and dynamic capability replacement.

Agent RuntimeCapability SeamsCordis
0 likes · 26 min read
DeepSeek Harness Runtime Architecture: Separating Capabilities from Facts via Cordis, Agent Loop & Session
Architect
Architect
Sep 8, 2026 · Artificial Intelligence

Pi's Minimalist Agent Harness: Trading Features for Runtime Control

This article analyzes Pi's minimalist agent harness architecture, contrasting its four-tool core with Claude Code, Codex, and DSH, detailing its session tree, dual-loop execution, context compaction, and the trade-offs of pushing workflows to extensions for greater runtime controllability.

AI architectureAgent RuntimeMinimalist Design
0 likes · 22 min read
Pi's Minimalist Agent Harness: Trading Features for Runtime Control
Architect
Architect
Sep 7, 2026 · Artificial Intelligence

Loop Tech Behind GPT-6 Astra: Recurrent Depth, Trade-offs & Agent Verification

This article traces the Loop architecture lineage from Universal Transformer to recurrent depth, examines engineering challenges like placement, state drift, dynamic stopping, and KV cache, and argues that as internal computation decouples from parameters and visible reasoning, Agent verification must rely on external evidence like tests, approvals, and versioned artifacts rather than chain-of-thought alone.

Agent VerificationGPT-6 AstraKV cache
0 likes · 25 min read
Loop Tech Behind GPT-6 Astra: Recurrent Depth, Trade-offs & Agent Verification