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Latest from Huolala Tech

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Huolala Tech

Oct 10, 2026 · Backend Development

How Flame Graphs Cut 17% CPU at 200k QPS: Logging Stack Traces & Map Scans

At 200k QPS, async-profiler flame graphs revealed that synchronous stack-trace capture on every log line and full-table scans of a fee-item cache consumed 25% of CPU; removing the stack trace and indexing the cache by code dropped single-node CPU from 65% to 48% with no RT regression, validated by controlled ablation experiments and production rollout.

CPU optimizationConcurrentHashMapJava performance

0 likes · 13 min read

How Flame Graphs Cut 17% CPU at 200k QPS: Logging Stack Traces & Map Scans

Huolala Tech

Sep 30, 2026 · Artificial Intelligence

Harness Engineering: The Deterministic Layer That Makes AI Agents Stable and Efficient

This article details Harness Engineering practices for building stable AI agents, covering action space constraints, context management via data precomputation and cost control, event-driven task scheduling, memory persistence with version control, and operational metrics showing significant efficiency gains through deterministic control layers.

AI AgentData PrecomputationDeterministic Systems

0 likes · 17 min read

Harness Engineering: The Deterministic Layer That Makes AI Agents Stable and Efficient

Huolala Tech

Sep 16, 2026 · R&D Management

Why Personal AI Coding Gains Don't Scale: HuoLaLa's Organizational Implementation Journey

HuoLaLa details its three-phase journey to convert individual AI coding productivity into organizational gains, covering a unified workbench, spec-driven development pipelines, dual-agent code review, and measurable metrics like AI code ratio and first-pass yield.

AI codingHuolalaLarge-Scale Adoption

0 likes · 21 min read

Why Personal AI Coding Gains Don't Scale: HuoLaLa's Organizational Implementation Journey

Huolala Tech

Sep 2, 2026 · Big Data

Building DataLeap's AI-Ready Data Knowledge Base: From Scattered Metrics to Reliable Conversational Analytics

DataLeap consolidates fragmented metric definitions, business rules, and SQL templates into a governed, AI-understandable knowledge base, enabling conversational analytics with 90% recall and stability through semantic integration, layered knowledge engines, and an evaluatable data flywheel.

AI analyticsData FlywheelDataLeap

0 likes · 10 min read

Building DataLeap's AI-Ready Data Knowledge Base: From Scattered Metrics to Reliable Conversational Analytics

Huolala Tech

Aug 12, 2026 · Artificial Intelligence

Redefining Agent Evaluation: An Offline LLM-as-a-Judge Framework and Practice

The article presents a quantitative offline evaluation system for AI agents in real outbound-call scenarios, combining reference‑based scoring with pairwise GSB methods, addressing regression and optimization, mitigating systematic bias through judge model selection and majority‑vote adjustments, and delivering an objective, high‑efficiency benchmark.

Agent EvaluationGSBLLM-as-a-Judge

0 likes · 16 min read

Redefining Agent Evaluation: An Offline LLM-as-a-Judge Framework and Practice

Huolala Tech

Jul 22, 2026 · Artificial Intelligence

AI‑Generated API Automation: From Random Guesswork to Deterministic Delivery

The article analyzes why most API‑automation stops at script execution, proposes a multi‑layer Skill protocol that combines LLM generation with strict data, style, and assertion contracts, and demonstrates measurable gains in efficiency, quality, and coverage across multiple business lines.

AICoverageEfficiency

0 likes · 19 min read

AI‑Generated API Automation: From Random Guesswork to Deterministic Delivery

Huolala Tech

Jul 15, 2026 · Backend Development

Too Many Complex Business Rules? How a Rule Visualization Platform Simplifies Management

The article explains why scattered, frequently changing business rules cause maintenance headaches, and introduces a rule visualization configuration platform that provides visual authoring, validation, approval, gray release, and local execution to make complex rule iteration safer and more efficient.

LiteFlowRule EngineSDK

0 likes · 28 min read

Too Many Complex Business Rules? How a Rule Visualization Platform Simplifies Management

Huolala Tech

Jul 8, 2026 · Information Security

Exploring Host Security with eBPF: Building a Deep Kernel‑Level Monitoring Loop

This article examines how eBPF can reshape host security by providing kernel‑level visibility, low‑overhead real‑time monitoring, and a closed‑loop architecture that improves process and network data capture, demonstrates higher audit success rates than Netlink, and outlines performance, stability, and emergency‑handling mechanisms.

eBPFhost securitykernel monitoring

0 likes · 16 min read

Exploring Host Security with eBPF: Building a Deep Kernel‑Level Monitoring Loop

Huolala Tech

Jul 1, 2026 · Artificial Intelligence

How an AI Loss‑Prevention Platform Cut Financial Losses by 99.96%

The article details how a transaction platform replaced fragile manual reviews and static rule engines with a data‑flywheel, model‑distillation, and a multi‑agent AI system—automating labeling, dual‑modality risk detection, and anti‑corrosion mechanisms—to achieve a 99.96% reduction in annual financial loss.

AIautomated labelingloss prevention

0 likes · 10 min read

How an AI Loss‑Prevention Platform Cut Financial Losses by 99.96%

Huolala Tech

Jun 16, 2026 · Artificial Intelligence

Huolala Figma MCP: Principles and Real‑World Practice

Huolala Figma MCP is a self‑developed AI‑powered service that automatically converts Figma design files into high‑fidelity UI code for multiple platforms, featuring layer cleaning, layout and icon recognition, customizable Skills, and detailed comparisons with existing solutions, plus real‑world deployment results.

AI code generationFigmaMultimodal Model

0 likes · 18 min read

Huolala Figma MCP: Principles and Real‑World Practice