Tech Blog
Technical articles from the KGA engineering team
RevOps Tooling Stack 2026: Clari, Gong, Lakehouse and AI Forecasting
Clari, Gong, and Salesforce Einstein integration; contract data aggregation in a Lakehouse; AI-driven Net Retention forecasting; and billing x accounting x CPM finance integration — the full 2026 RevOps stack dissected.
岡田 玲奈
Head of Revenue Operations
Edge Platform Benchmark 2026: Fastly, Akamai, AWS Lambda@Edge, Cloudflare Workers
Fastly Compute (WASM), Akamai EdgeWorkers, AWS Lambda@Edge, and Cloudflare Workers compared on cold start, memory, GB-second cost, geographic distribution, and WAF integration — with a Japan x Southeast Asia traffic selection matrix.
平井 翔大
Infrastructure Solution Architect
Raising RAG Retrieval Quality in 2026: Hybrid, Rerankers, HyDE, and Late Chunking
Retrieval determines 80% of RAG quality. Hybrid (BM25 + Dense), two-stage ranking with Cohere Rerank-3/Voyage Rerank-2, query expansion via HyDE and Query2Doc, semantic/recursive/late-chunking strategies, and evaluation design with nDCG@10 and MRR — implementation code included.
石川 大地
AI Solutions Architect
Measuring Platform Engineering in 2026: DevEx Framework, SPACE, DORA, and DXI
Proving platform engineering ROI is the top CTO priority of 2026. DevEx Framework (Nicole Forsgren), SPACE, DORA, and Developer Experience Index (DXI) aligned with Opsera, Faros AI, and Jellyfish — plus a measurement strategy matched to organizational maturity.
長岡 龍彦
Director of Platform Strategy
Retention Analytics 2026: Cohort Retention, Quick Ratio, Power User Curves, North Star Design, and Churn Prediction for Japanese SaaS
A systematic 2026 guide to retention analytics. Cohort Retention, Quick Ratio, L7/L28 Power User Curves, North Star Metric design, and churn prediction models (XGBoost, Causal Forest) for Japanese SaaS products.
濱田 大志
Principal Retention Scientist
Secrets Management and Workload Identity 2026: Vault, SPIFFE, and AI Agent NHI Integration
Long-lived API keys are disappearing. HashiCorp Vault, AWS Secrets Manager, and Doppler combined with SPIFFE/SPIRE, Workload Identity Federation, and Secretless Broker — extended to AI agent NHI. Tool comparisons and implementation patterns.
佐々木 賢
Principal Platform Engineer
Incident Management and LLM-Assisted Postmortems 2026: PagerDuty, Incident.io, Rootly, FireHydrant and Quantifying MTTR Reduction
Incident management SaaS evolved dramatically with LLM features in 2025-2026. Automatic timeline generation, impact estimation, blameless postmortem drafting, and action item tracking. PagerDuty, Incident.io, Rootly, and FireHydrant compared from an operations perspective.
本多 雄太
Incident Response Lead
Legal AI Copilots 2026: Harvey, Hebbia, Robin AI, LegalOn & LegalForce Deep Dive
Legal AI copilots have entered serious production use. Harvey AI, Hebbia, Robin AI, and Japan's LegalOn and LegalForce compared on contract review accuracy, hallucination control, and EN-JA translation quality.
鈴木 恵理
Legal Tech Principal
Building a Production-Grade Claude Code Plugin: Design, Distribution, Operations
Everything from zero to a published Claude Code plugin. Repo structure, plugin.json manifest, semantic versioning, marketplace distribution, telemetry, breaking-change management, and user settings merge strategy — using gsd-build and wshobson/agents as worked examples.
山田 健一
Staff Developer Experience Engineer
Open LLM Fine-Tuning 2026: Synthetic Data, DPO Variants, Japanese-Specific Models
Synthetic data and DPO/IPO/KTO dominate 2026 fine-tuning. Claude Opus 4.7 teacher distillation, the Phi recipe, Swallow/Rinna/Sarashina, and reproducible recipes with axolotl and unsloth.
山本 健一
Applied Research Lead
From PLG to Sales-Led: The Playbook for Breaking the 80M Yen ARR Ceiling
PLG-only growth has a ceiling. Drawing on Notion, Linear, and Vercel, this post defines PQL criteria, SDR trigger events, and sales content design for a hybrid GTM that breaks through the 80M yen ARR wall.
山本 大輔
VP of Revenue Strategy
Vercel Edge Runtime 2026: Fluid Compute Meets Next.js 16 RSC
Vercel Fluid Compute collapses the old Edge/Serverless binary. Next.js 16 RSC edge rendering, streaming SSR, Partial Prerendering, and Edge Config-based feature flag operations — the 2026 production architecture.
中野 彩子
Senior Frontend Infrastructure Engineer
OLAP in 2026: ClickHouse Cloud, DuckDB 1.2, MotherDuck, and Turso in Production
ClickHouse Cloud serverless, DuckDB 1.2 HTTP server mode, MotherDuck's commercial launch, and Turso's LibSQL extensions. OLAP in 2026 is shifting from centralized clusters toward lightweight engines at the edge, browser, and notebook level — including Japanese-language workload considerations.
藤原 和也
Senior Data Platform Engineer
KV Cache Management 2026: FP8 KV, MoE Memory Profiles, CPU/NVMe Offload, Multi-Tenant Isolation
The definitive 2026 guide to KV cache in LLM serving. FP8 KV quality tradeoffs, MoE routing memory profiles, paging, CPU/NVMe offloading, LMCache vs SGLang RadixAttention benchmarks, and fairness in multi-tenant isolation.
吉田 遼
Senior Systems Engineer, LLM Serving
The Future of Identity 2026: Passkeys, SCIM, SAML-to-OIDC Migration and the Japanese Enterprise Wall
B2B Passkey rollout crossed an inflection point in 2026. SAML-to-OIDC migration, SCIM automation, step-up and Adaptive MFA in unified operation — and a head-on treatment of the collision with Japan's My Number and shared-account culture.
大石 麻衣
Senior Identity Engineer
Chaos Engineering in Production 2026: Gremlin, LitmusChaos, Chaos Mesh, and Japanese Enterprise Game Day Culture
More than a decade after Netflix's Chaos Monkey, chaos engineering in 2026 has shifted from "break things intentionally" to "design for failure and verify on a schedule." Includes how to navigate Japan's planned-outage culture.
安藤 美佐
Staff Reliability Engineer
Micro Frontends Reconsidered 2026: Module Federation 2.0, Rspack/Vite, and Japanese Enterprise Migrations
Module Federation 2.0, Single-SPA, Rspack/Vite integration, edge delivery, and cache invalidation strategy — with concrete design decisions and gotchas from phased migrations at major Japanese financial and SaaS companies in 2025-2026.
藤本 知佳
Staff Frontend Engineer
Sales Engineering & Revenue Ops AI Copilots 2026: Gong, Clari, Breeze, Glossary Deep Comparison
Gong Anywhere, Clari Copilot, HubSpot Breeze, and Glossary AI compared on real-time call analysis, deal risk scoring, and Japanese-language support — plus where Japanese B2B SaaS RevOps stands today.
北村 智宏
Revenue Operations Architect
Claude Plugins Ecosystem: Building MCP Servers, Slash Commands & Hooks
A deep dive into the Claude Code plugin ecosystem. Covers popular plugins like get-shit-done, simplify, and ultrareview, plus building custom plugins and securing shell-execution workflows.
田中 翔太
Lead AI Engineer
NVIDIA/TSMC/ASML Q1 2026 Earnings: AI Semiconductor Supply Chain Analysis
NVIDIA's data center segment hit $52.1B in Q1 2026, up 71% year-over-year. A data-driven dissection of TSMC 2nm yield, ASML EUV shipments, hyperscaler capex, and downstream impact on Japanese equipment makers.
木村 啓介
Senior Semiconductor Analyst
AI Agent SDK Deep Comparison 2026: Anthropic Agent SDK, Vercel AI SDK 5, LangGraph, Mastra, OpenAI Assistants v2
Production-focused comparison of Anthropic Agent SDK, Vercel AI SDK 5, LangGraph Studio, Mastra, and OpenAI Assistants v2. Covers agent loop design, tool-call conventions, state management, and observability.
西野 翔
Principal Agent Engineer
Usage-Based vs Subscription: SaaS Pricing Migration in the AI Era
The evolution of consumption-based pricing at Snowflake, Datadog, and Twilio — plus the "token as unit of consumption" debate in the AI API era. How to design hybrid pricing that fits Japanese enterprise budget cycles.
藤井 恵美
Principal Pricing Strategist
Cloudflare Workers & Durable Objects Deep Dive: Designing Global State Machines
Durable Objects' single-thread transaction model, Workers KV vs Hyperdrive vs D1 trade-offs, Workers AI inference routing, and hot-path optimization via Rust + WASM bindings — all codified as of 2026.
村田 聡
Principal Edge Architect
Embedding Models 2026 Landscape: text-embedding-3-large, Voyage-3, Cohere Embed v4, BGE-M3, Jina v3
2026 embedding model leaders measured on MTEB, BEIR, and JMTEB. OpenAI text-embedding-3-large, Voyage-3, Cohere Embed v4, OpenAI Embed-4, BGE-M3, and Jina v3 compared in English and Japanese. Matryoshka Representation dimensionality reduction and ColBERT Late Interaction covered at implementation depth.
青木 知美
Senior AI Research Engineer
Transformation Layer 2026: dbt Core 1.10 vs SQLMesh 0.150 vs Dagster 1.10
dbt Core 1.10, SQLMesh 0.150, and Dagster 1.10 compared on Semantic Layer, incremental materialization, CI/CD, and cost monitoring. Covers dbt Labs' commercial pivot, SQLMesh virtual data environments, and Dagster asset-centric maturity.
久保 真由美
Lead Analytics Engineer
LLM Serving Batching Strategies 2026: Continuous Batching, Chunked Prefill, RadixAttention
How continuous batching, chunked prefill, PagedAttention, RadixAttention, and sorted batching affect TTFT, ITL, and throughput. Enterprise-focused coverage of prompt cache strategies including system-prompt sharing and tenant partitioning.
竹内 葵
Staff Serving Infrastructure Engineer
Designing Golden Paths: Backstage Templates, Cookiecutter, Nx Plugins for Opinionated Scaffolding
Golden Paths are the most frequently touched platform engineering artifact. How to combine Backstage Software Templates, Cookiecutter, and Nx Plugins to create templates that are production-ready from day one — including CI integration and automatic Secret provisioning.
柴田 美月
Staff Developer Experience Engineer
Experimentation Platforms 2026: Statsig, LaunchDarkly, GrowthBook, and Unleash with CUPED and Sequential Testing
Statsig, LaunchDarkly, GrowthBook, and Unleash compared as experimentation platforms. Bayesian vs frequentist approaches, CUPED, Sequential Testing, Guardrail Metrics implementation differences, and the server-side vs client-side decision axis.
西田 明香
Principal Experimentation Scientist
Astro 5 / Qwik 2 / Svelte 5 in 2026: Where Islands, Resumability, and Runes Win
The React/Next.js monoculture is cracking. Astro 5 Server Islands, Qwik 2 Resumability, Svelte 5 runes, and Solid Start 1.0 compared on three axes — content-first, interaction-first, and DX — with project-type selection criteria.
河野 拓真
Senior Frontend Architect
Skills vs Hooks vs Subagents: The Definitive Guide to Claude Code Extensibility
Skills encode procedural knowledge, Hooks intercept events, Subagents delegate autonomous work. A decision matrix and real-world patterns — pre-commit security review, long-form research delegation, and domain expert specialization.
田中 翔太
Lead AI Engineer
US AI Regulation Patchwork: Executive Orders, State Laws, NIST RMF v2, and SEC Disclosure
The regulatory landscape for Japan-based IT companies operating in the US — no federal unified law but a patchwork of executive orders (2024-2026), post-SB 1047 California, Colorado AI Act enforcement, NIST RMF v2, and SEC/FTC AI-related actions.
斎藤 麻衣
US Regulatory Affairs Lead
Vector Database Production Comparison 2026: pgvector 0.9, Qdrant 1.12, Weaviate 1.28, Chroma 1.0, Pinecone Serverless
pgvector 0.9 HNSW iterative scan, Qdrant 1.12 quantized GPU indexing, Weaviate 1.28 multi-tenancy, and Pinecone Serverless real pricing curves — all benchmarked at 100M vector scale. p99 latency, recall, sharding strategy, and hybrid search implementation for production migration decisions.
橋本 祐介
Principal Data Platform Engineer
Lakehouse Showdown 2026: Apache Iceberg 1.7, Delta Lake 3.3, and Apache Hudi 1.0
Snowflake Iceberg write GA, Databricks Unity Catalog going open, and AWS S3 Tables arriving — the table format wars showed signs of convergence in 2026. Real benchmarks across Trino 465, Spark 4.0, DuckDB 1.2, and StarRocks 3.4.
川口 拓也
Principal Data Engineer
Speculative Decoding in Production 2026: EAGLE-3, Medusa-2, and Lookahead Benchmarks
Internals and production pitfalls of EAGLE-3, Medusa-2, and Lookahead decoding. Draft model selection, accept-rate tuning, vLLM/SGLang configuration examples, and real throughput improvements of 40-60% on 70B and MoE models.
三木 純平
Principal Inference Engineer
IDP Selection 2026: Backstage v1.30 vs Port vs Cortex vs OpsLevel vs Humanitec
IDP selection is the defining platform engineering decision of 2026. Backstage v1.30, Port, Cortex, OpsLevel, and Humanitec compared on plugin ecosystem, TechDocs, Software Catalog, Scorecards, and implementation cost — with Japanese enterprise case studies.
荒木 健斗
Principal Platform Engineer
Product Analytics Deep Comparison 2026: PostHog 1.100, Mixpanel, Amplitude, Heap, and June
PostHog 1.100, Mixpanel, Amplitude, Heap, and June compared for production teams. Self-host vs SaaS, cookieless tracking and server-side events, natural language query performance, and real TCO in Japanese yen.
秋山 翔
Head of Product Analytics
ZTNA Implementation 2026: Running BeyondCorp, Cloudflare Access, and Tailscale in Japanese Enterprises
VPN elimination is becoming realistic in 2026. BeyondCorp Enterprise, Cloudflare Access, Tailscale, Twingate, and Zscaler compared on device posture, mTLS, and SSO integration — with practical coverage of Japan-specific barriers like approval workflows, leaver accounts, and IT permission segregation.
松田 健
Principal Security Architect
SLO/SLI/Error Budget Policy Design Practice 2026: Multi-Window Multi-Burn-Rate Alerts and LLM Service Reliability Targets
A decade after the SRE book, SLO operations have matured past "define and dashboard" to board-agreed Error Budget Policies and multi-window multi-burn-rate alerts as standard practice. Includes SLI design specific to LLM services.
中川 一郎
Principal SRE
React Server Components 2026 in Production: Rebuilding with Next.js 16 PPR and use cache
Stable PPR (Partial Prerendering), use cache, and cache tags in Next.js 16 — design decisions and migration pitfalls from a team that shipped RSC to production. Real bundle size reductions, Suspense boundary placement, and stale-while-revalidate operations.
今井 理香
Principal Frontend Engineer
Customer Support AI Copilots 2026: Intercom Fin 3, Zendesk Copilot, Ada, Dialpad Ai Benchmark
Intercom Fin 3, Zendesk Copilot, Ada, and Dialpad Ai benchmarked on deflection rate, human escalation accuracy, CSAT impact, Japanese honorific handling, and compliance recording requirements.
前田 彩香
CX Automation Lead
Inference Engine Wars 2026: vLLM, SGLang, TensorRT-LLM, llama.cpp, MLX
vLLM 0.8, SGLang 0.4, TensorRT-LLM, llama.cpp, and MLX compared head-to-head on throughput, latency, VRAM, batching strategy, and quantization. Practical tuning guide for 7B, 70B, and 405B models.
佐藤 美咲
ML Infrastructure Engineer
LLM Observability 2026: OpenLLMetry, Prompt Traces & Hallucination Detection in Production
OpenLLMetry/OpenInference semantic conventions, tool-call span attributes, and how to choose between Langfuse, Helicone, Arize Phoenix, and W&B Weave. Cost allocation by feature, latency SLIs, and hallucination detection built on Grafana Tempo and ClickHouse.
宮崎 慎太郎
Senior Observability Engineer
AI Market Financial Reactions 2026: NVIDIA, Anthropic Funding, TSMC & ETF Trends
AI-related equities continue to swing wildly into 2026. An investor-focused analysis of NVIDIA's correction, Anthropic's fundraise, OpenAI's valuation, TSMC/ASML prices, and AI ETF flows.
中村 大輔
AI Industry Analyst
MCP Server Deep Dive: Building the Heart of Claude Plugins
Model Context Protocol server internals, plus hands-on implementation of Slack integration, DB queries, and filesystem access. Covers permission models and comparison with OpenAI Function Calling and ChatGPT Plugins.
佐藤 美咲
Principal Platform Engineer
AI Unicorn Private Market 2026: Anthropic, OpenAI IPO, xAI, Mistral Valuations
Anthropic at $320B, OpenAI IPO speculation, xAI Series F, Mistral's European strategy, Cohere's enterprise pivot. The latest private market dynamics and secondary trading activity — and what it means for Japanese investors.
森 千里
Private Markets Strategist
AI Agent Marketplace Monetization 2026: GPT Store, Claude Artifacts & Gemini Gems Economics
The AI agent marketplace is a real business now. Usage-based, subscription, and revenue-share models analyzed with real data from GPT Store, Claude Artifacts, and Gemini Gems.
高橋 由紀
AI Platform Economist
Migrating from RAG to Agentic Workflows: Strategy and Evaluation Redesign
Static RAG is showing its limits on complex business workflows. Migration to agentic workflows is irreversible — but you don't have to abandon RAG. Hybrid design, cost-quality tradeoffs, governance changes, and evaluation harness reconstruction at implementation depth.
酒井 弘樹
Principal AI Architect
Enterprise AI Spending Shift 2026: SaaS Budget Reallocation and Fortune 500 Reality
Fortune 500 companies now have standalone AI budget line items, with LLM APIs at 14% of enterprise cloud spend. SaaS budget reallocation, build-vs-buy decisions, and how NTT Data, NEC, and Fujitsu are responding — verified with Q1 2026 data.
大野 一馬
Enterprise Technology Strategist
Open LLM Shootout 2026: Qwen 3 vs Llama 4 vs DeepSeek R2 vs Mistral Large 3
Qwen 3 72B, Llama 4 405B, DeepSeek R2, and Mistral Large 3 pushed hard on MMLU-Pro, SWE-Bench, tool use, and inference cost. A use-case recommendation matrix included.
田中 翔太
Lead AI Engineer
Japan's AI Governance Evolution: Hiroshima Process, AI Promotion Act, and Copyright 30-4 in 2026
Two years after the Hiroshima AI Process international code of conduct — METI guideline updates, PPC LLM-specific guidance, the 2026 AI Promotion Act deliberations, and Copyright Article 30-4 interpretation. Japan's position benchmarked against Singapore, South Korea, and India.
小林 健二
Principal Policy Analyst
Claude Opus 4.7 vs Sonnet 4.6: Benchmarks, Cost & When to Use Which
Technical breakdown of Claude Opus 4.7 and Sonnet 4.6: SWE-bench, Terminal-bench, and MMLU-Pro scores, cost efficiency, prompt caching behavior, and a use-case decision guide.
田中 翔太
Lead AI Engineer
Enterprise LLM Inference Patterns 2026: GPU Sharing, Autoscaling & SLO-Driven Routing
When to self-host vs use managed inference (Bedrock/Vertex/Azure AI), GPU sharing via MIG/MPS, KEDA queue-length autoscaling, and SLO-driven routing. A real case that reduced serving costs from $85k/month to $12k/month.
池田 千夏
Staff Platform Engineer
Long-Horizon Agent Memory Architectures: Episodic Stores, Entity Graphs, MemGPT & Anthropic Memory Tool
Memory system design for long-running agents. Episodic vector stores, KùzuDB/Neo4j entity graphs, MemGPT hierarchical memory, and Anthropic Memory Tool patterns with pgvector/DuckDB code examples.
渡辺 光輝
Memory Systems Architect
Zero-Trust Identity for AI Agents: NHI and Audit Trail Design
Human authentication models break down when AI agents operate internal systems autonomously. Non-Human Identity, scoped API keys, mTLS, and audit trail design explained with Okta for Agents, Workload Identity Federation, and HashiCorp Boundary examples.
内田 拓海
Principal Security Architect
The Rise of AI Agent Marketplaces: SDKs, LangGraph Studio & Emerging Business Models
AI agent marketplaces are maturing fast. In-depth analysis of the Anthropic Agent SDK, Vercel AI SDK agents, LangGraph Studio, and new revenue models including revenue sharing and consumption pricing.
佐藤 美咲
ML Infrastructure Engineer
EU AI Act Enforcement Phase 2026: Fines, National Authorities, and Cross-Border SaaS Compliance
The EU AI Act entered full enforcement in 2026. Covers prohibited practices, high-risk system obligations, GPAI rules, CNIL and BfDI enforcement actions, and a checklist for Japanese SaaS operators.
中村 理恵
Senior Regulatory Counsel
AI Accelerator Deep Dive 2026: H200, B200, GB200 NVL72, MI300X, TPU v6, Trainium3, Gaudi 3
Cross-platform comparison of MFU, HBM bandwidth, NVLink/Infinity Fabric topology, and TCO for 70B training. Includes Japan procurement availability via NTT, KDDI, and Sakura Internet.
長谷川 武
Principal Infrastructure Architect
Measuring AI Copilot ROI Honestly: DevEx Methodology in 2026
Reporting Copilot ROI as "acceptance rate x time saved" is over. Combining DORA, SPACE, controlled experiments, and bug-rate deltas, this post presents an honest measurement methodology using data from LINE Yahoo, Mercari, and Cybozu.
伊藤 絵里
Principal DevEx Researcher
Generative AI Regulation 2026: EU AI Act, US Executive Orders & Japan's AI Policy
A comprehensive look at 2026 AI regulation. Covers EU AI Act enforcement, revised US executive orders, Japan's AI Basic Act, and what enterprises need to do today to stay compliant.
山田 美和
AI Policy Analyst
Open-Source LLM Landscape 2026: Llama 4, Mistral Large 3, Qwen 3, DeepSeek, Phi-4
A full survey of the 2026 open-source LLM field. Compares Llama 4, Mistral Large 3, Qwen 3, DeepSeek, and Phi-4, plus inference optimization with vLLM, SGLang, and TensorRT-LLM.
佐藤 美咲
ML Infrastructure Engineer
OpenClaw: Open-Source AI Agent Framework Deep Dive
An architectural breakdown of OpenClaw, the next-generation AI agent framework positioned beyond LangChain, CrewAI, and AutoGen. From tool-use patterns to memory system internals.
田中 翔太
Lead AI Engineer
Hermes 3 & Local LLM Inference Practical Guide
A complete guide to deploying Nous Research's Hermes 3 locally. Covers Ollama and vLLM inference optimization, GGUF quantization, and benchmark comparisons against cloud APIs.
佐藤 美咲
ML Infrastructure Engineer
Path to AGI: Autonomous Agents & Super Brain Architecture
Designing a multi-LLM orchestration layer that dynamically routes across GPT-4o, Claude, and Gemini. Architecture and implementation of a Super Brain system where specialized sub-agents report to a meta-agent.
田中 翔太
Lead AI Engineer
Free Quantum Computing: From China's Origin Quantum to IBM Qiskit
A hands-on comparison of free quantum computing platforms. We actually ran quantum circuits on Origin Quantum, IBM Quantum, Google Cirq, and Amazon Braket's free tiers.
山田 健一
Research Engineer
MDS: Deploying Large Models to Edge with Model Distillation System
How to distill a 70B-parameter model down to 7B for consumer GPUs and edge devices. Practical GPTQ vs AWQ vs GGUF comparison and distillation techniques that preserve output quality.
佐藤 美咲
ML Infrastructure Engineer
2025 Free AI API Guide: 15 Services You Should Know
A practitioner's review of 15 free AI APIs — Groq, Together.ai, Hugging Face, Gemini, and more. Covers rate limits, available models, and the best use cases for each.
鈴木 大輔
Full-Stack Engineer
CLI Tools 2025: Essential DevOps Engineer Toolchain
The CLI tools DevOps engineers actually use in 2025 — from starship, ripgrep, lazygit, and k9s to AI-powered CLIs. Includes setup steps and real-world usage tips.
木村 拓也
DevOps Engineer
Subvertentes: Advanced Prompt Engineering & Multi-Step Reasoning
Practical prompt engineering beyond Chain-of-Thought, Tree-of-Thought, and Graph-of-Thought. Multi-step prompt chaining for business process automation, illustrated with KGA's real client projects.
田中 翔太
Lead AI Engineer
DeepSeek R1: The Impact of a Reasoning-Specialized Model
DeepSeek R1 beat GPT-4o on reasoning benchmarks. A technical analysis of its chain-of-thought internals and what its open-source strategy means for the broader AI ecosystem.
中村 悠太 / Yuta Nakamura
Lead AI Engineer
Claude 4 Sonnet/Opus: Comprehensive Review of Anthropic's Latest Models
The Claude 4 family is a full redesign. We review Constitutional AI advances, tool-use performance gains, and coding benchmark results — all backed by hands-on test data.
林 美咲 / Misaki Hayashi
Infrastructure Lead
Gemini 2.0 Flash: Google's Multimodal Strategy
Testing Gemini 2.0 Flash's multimodal capabilities and 1M-token context in practice. Also covers when to use Gemma open models versus the full Gemini API.
金 東勲 / Kim Dong-hoon
Security Engineer
Llama 4: Meta's Open Source Revolution Accelerates
Llama 4 arrives with Scout and Maverick variants. Analysis of the Mixture of Experts architecture and its implications for the open-source AI community.
鈴木 健一 / Kenichi Suzuki
Full-Stack Engineer
Grok-3: xAI's Challenge and Real-Time AI
Grok-3 carves out a unique position through real-time data integration. We test X (Twitter) integration in practice and compare performance against other leading models.
中村 悠太 / Yuta Nakamura
Lead AI Engineer
Mistral Large 2 and Mixture of Experts Complete Guide
A technical deep dive into Mistral Large 2's MoE architecture. Covers Codestral's coding performance and the practical GDPR compliance advantages of a European-hosted model.
林 美咲 / Misaki Hayashi
Infrastructure Lead
Qwen 3: Alibaba's AI Reaches World-Class Level
Qwen 3 achieves top-tier performance in multilingual tasks, math, and coding. Analysis of its open-weight strategy and measurable advantages in Asian languages.
金 東勲 / Kim Dong-hoon
Security Engineer
Running RAG in Production: Design Patterns and Pitfalls
RAG is easy to prototype, hard to operate. KGA shares real-world design patterns and failure stories from production: chunking strategies, reranking, and evaluation pipelines.
中村 悠太 / Yuta Nakamura
Lead AI Engineer
LoRA/QLoRA Fine-Tuning Practical Guide 2026
A practitioner's guide to LLM fine-tuning with LoRA and QLoRA. Covers dataset preparation, optimal hyperparameter settings, and evaluation — drawn from KGA's real client engagements.
林 美咲 / Misaki Hayashi
Infrastructure Lead
AI Code Assistants Comparison 2026: Cursor vs Claude Code vs Copilot
A head-to-head comparison of Cursor, Claude Code, and GitHub Copilot on real development tasks. Ten benchmark tasks covering code generation accuracy, refactoring, cost, and developer experience.
鈴木 健一 / Kenichi Suzuki
Full-Stack Engineer
FLUX vs SDXL: The Cutting Edge of AI Image Generation
A thorough comparison of FLUX.1 and Stable Diffusion XL image generation. Includes ComfyUI workflow construction and practical prompt engineering techniques.
中村 悠太 / Yuta Nakamura
Lead AI Engineer
AI Video Generation 2026: Comparing Sora, Kling, and Runway Gen-4
Sora, Kling, and Runway Gen-4 tested on actual business use cases. An honest review of quality, cost, and constraints across all three tools.
林 美咲 / Misaki Hayashi
Infrastructure Lead
Kubernetes Production 2026: Lessons We Learned
Three years of running Kubernetes in production, shared honestly. Autoscaling traps, observability setup, cost optimization, and post-incident analyses of real outages.
金 東勲 / Kim Dong-hoon
Security Engineer
Terraform vs Pulumi: Complete IaC Tool Comparison
After partially migrating from Terraform to Pulumi, KGA compares both tools from an operational perspective. Includes the migration decision criteria and the actual migration process.
鈴木 健一 / Kenichi Suzuki
Full-Stack Engineer
Zero Trust Architecture Implementation Record
The full record of KGA's real Zero Trust deployment. BeyondCorp model implementation, identity-based access control, phased migration process, and measured outcomes.
金 東勲 / Kim Dong-hoon
Security Engineer
7 Lessons Learned from Deploying AI Agents to Production
Seven hard lessons from running AI agents in production. Failure modes, guardrail design, monitoring, and cost runaway prevention — illustrated with real failure cases.
中村 悠太 / Yuta Nakamura
Lead AI Engineer
Edge Computing in Practice: What You Can Do with Cloudflare Workers
Real-world edge computing examples using Cloudflare Workers, D1, R2, and KV. Performance benchmarks and concrete use cases from production deployments.
鈴木 健一 / Kenichi Suzuki
Full-Stack Engineer
vLLM & TensorRT-LLM: Inference Server Optimization in Practice
Benchmarking vLLM's PagedAttention against TensorRT-LLM's FP8 kernels. Covers batching strategy, KV cache management, and production operations know-how.
中村 悠太
Senior AI Engineer
Next.js 16 Migration Guide: App Router Practical Patterns
Challenges and solutions from our Next.js 16 migration. React Server Components patterns, streaming, cache strategy optimization — the full production migration record.
林 美咲
Frontend Tech Lead
PostgreSQL 17 New Features & Our Migration Record
PostgreSQL 17 validated in production. JSON_TABLE, incremental backups, MERGE improvements, and performance gains — with real benchmarks and our PG16-to-PG17 migration steps.
金 東勲
Infrastructure Engineer
Building an LLM Evaluation Framework: How to Measure Quality
Building an LLM output quality evaluation framework from scratch. Custom benchmarks, calibration against human evaluation, and the design and operation of automated test pipelines.
鈴木 健一
ML Platform Engineer
Docker Container Security Hardening: Practical Checklist
A checklist-driven guide to container security. Rootless Docker, image scanning, runtime protection, and network isolation — covering everything a production environment requires.
中村 悠太
Senior AI Engineer
gRPC vs REST: Choosing Microservice Communication
How to choose between gRPC and REST for inter-service communication. Protocol Buffers, streaming, error handling — plus real benchmark data from KGA's production systems.
林 美咲
Frontend Tech Lead
How We Cut API Costs by 80% with Prompt Caching
The full story behind reducing LLM API spend by 80% through prompt caching. From exact-match to semantic caching, with Redis-based implementation patterns.
金 東勲
Infrastructure Engineer
GitHub Actions Advanced Workflows: Matrix Builds to Self-hosted Runners
Advanced GitHub Actions in practice. Matrix build optimization, reusable workflows, caching strategies, and how to build and operate self-hosted runners.
鈴木 健一
ML Platform Engineer
WebAssembly Transforms Server-Side: Wasmtime, Spin, Fermyon
WebAssembly is moving beyond the browser into server-side runtimes. An honest assessment of Wasmtime, Spin, and Fermyon Cloud — including real performance data and practical limitations.
中村 悠太
Senior AI Engineer
AI-Powered Monitoring: From Anomaly Detection to Incident Response
Building an AI-powered monitoring system from scratch. Metric anomaly detection, automated log analysis, alert aggregation, and incident response automation — with an honest AIOps evaluation.
林 美咲
Frontend Tech Lead
Redis 8: Beyond Caching
Using Redis 8's new features for non-cache workloads. Vector search, Pub/Sub, Streams, and native JSON support — all with implementation patterns and real performance measurements.
金 東勲
Infrastructure Engineer
Software Supply Chain Security 2025
Supply chain attack realities and defenses. SBOM generation, Sigstore artifact signing, SLSA framework implementation, and real incident analysis — comprehensive coverage.
鈴木 健一
ML Platform Engineer
Multi-Agent Framework Comparison: CrewAI vs AutoGen vs LangGraph
Three multi-agent frameworks tested on production workloads. Architecture philosophy, implementation patterns, performance, and operational challenges — based on KGA's real project experience.
中村 悠太
Senior AI Engineer
Observability Stack 2025: OpenTelemetry, Grafana, Tempo, Loki
Building a 2025 observability stack from zero. OpenTelemetry instrumentation, Grafana+Tempo+Loki integration, distributed tracing in practice, and cost-efficient operations design.
林 美咲
Frontend Tech Lead
AI Voice Synthesis 2025: ElevenLabs, XTTS, Bark & Practical Voice Cloning
Hands-on reviews of ElevenLabs, Coqui XTTS v2, Bark, and StyleTTS2. Quality comparisons, voice cloning implementation, ethical considerations, and real project application examples.
金 東勲
Infrastructure Engineer
Bun vs Deno vs Node.js: Runtime Comparison 2025
Three JavaScript/TypeScript runtimes tested on production workloads. Startup speed, HTTP throughput, bundle performance, ecosystem maturity, and a migration guide — with real benchmark data.
鈴木 健一
ML Platform Engineer
Vector Database Comparison: Pinecone, Qdrant, Weaviate, Milvus, Chroma
Five major vector databases tested on production workloads. Search accuracy, latency, scalability, cost, and operational overhead evaluated with real data — plus a use-case selection guide.
中村 悠太
Senior AI Engineer
Phi-4 & the SLM Revolution: When Small Models Outperform Giants
Microsoft Phi-4 proved that small models can punch above their weight. Domains where 14B outperforms 70B, edge deployment in practice, and realistic design patterns for mobile AI.
中村 悠太
Senior AI Engineer
Cloudflare AI Gateway: Build AI App Infrastructure in 10 Minutes
A setup guide for AI application infrastructure using Cloudflare AI Gateway. Rate limiting, caching, analytics, and provider fallback — all configured in 10 minutes.
林 美咲
Frontend Tech Lead
OpenAI Realtime API: Building Real-Time Voice AI
Design and implementation of real-time voice AI applications using the OpenAI Realtime API. WebSocket connections, voice mode, Function Calling integration, and latency optimization.
金 東勲
Infrastructure Engineer
AWS Bedrock in Production: Design and Operations Reality
Practical know-how for deploying AWS Bedrock in production. Architecture decisions, model selection, Guardrails configuration, RAG via Knowledge Bases, and cost optimization.
鈴木 健一
ML Platform Engineer
GraphQL Federation v2: The Definitive Microservices API Integration
Design and implementation of microservice API integration with Apollo Federation v2. Subgraph design, supergraph composition, schema merging, and a phased migration strategy from REST.
中村 悠太
Senior AI Engineer
AI Safety & Alignment: A Practitioner's Perspective
AI safety treated as an engineering problem, not an academic one. Guardrail implementation, content filtering, Red Teaming techniques, and the real cost of over-cautious AI systems.
林 美咲
Frontend Tech Lead
Rust for Backend Developers: A Practical Introduction
A hands-on guide for Go/Node.js engineers considering Rust. Actix-web vs Axum comparison, async runtimes, and a practitioner's approach to understanding the ownership model.
金 東勲
Infrastructure Engineer
MLOps Pipeline Architecture: From Model Development to Production
End-to-end MLOps pipeline design. MLflow experiment tracking, Feature Store, model registry, production deployment strategy, and drift detection — KGA's full operational playbook.
鈴木 健一
ML Platform Engineer
Google Willow Quantum Chip: Breakthrough in Quantum Error Correction
Google's Willow quantum chip and what it achieved in quantum error correction. The significance of 105 qubits, random circuit sampling results, and the path to practical quantum computing.
中村 悠太
Senior AI Engineer
OpenRouter: Accelerating Development with Unified AI API
A practical guide to multi-model AI development with OpenRouter. Unified API, model routing, fallback strategies, and cross-provider cost comparison and optimization.
林 美咲
Frontend Tech Lead
Incident Response Automation: From PagerDuty to Slack Bots
Automating incident response end to end. PagerDuty and Slack Bot integration, automated runbook execution, auto-remediation, and building a blameless postmortem culture.
金 東勲
Infrastructure Engineer
Embedding Models Comparison 2025: OpenAI, Cohere, BGE, Jina
A practitioner's comparison of major 2025 embedding models. OpenAI text-embedding-3, Cohere embed-v3, BGE-M3, and Jina Embeddings v3 — multilingual performance, cost, and retrieval quality.
鈴木 健一
ML Platform Engineer
Building a Design System with Tailwind CSS v4
A design system construction guide using Tailwind CSS v4. CSS-first configuration, design tokens, component library patterns, and a migration strategy from v3.
中村 悠太
Senior AI Engineer
API Rate Limiting Strategies: Token Bucket, Sliding Window & Distributed Implementation
Comparison of major API rate limiting algorithms — Token Bucket, Sliding Window Log, Sliding Window Counter — with Redis-based distributed implementation patterns.
林 美咲
Frontend Tech Lead
Training AI with Synthetic Data: Methods and Limitations
Major synthetic data generation approaches — LLM generation, GANs, simulation — plus quality evaluation metrics, privacy-preserving applications, and a frank look at model collapse.
金 東勲
Infrastructure Engineer
Platform Engineering 2025: Designing Developer Experience
Platform engineering in practice. Internal Developer Platform (IDP) design, Golden Paths, self-service enablement, Backstage adoption, and making developer experience measurable.
鈴木 健一
ML Platform Engineer