2026-01-22 Tech Briefing | Excessive abstraction leads to cognitive leakage, impacting developer capabilities and system maintenance.

Thursday

Welcome to this edition, featuring 29 articles.

📚 Contents/📝 TL;DR

📚 Contents

📝 TL;DR

Primary

The Consequences of Cognitive Leakage from Software Abstraction

Excessive abstraction leads to cognitive leakage, impacting developer capabilities and system maintenance.

The Consequences of Cognitive Leakage from Software Abstraction

Excessive abstraction leads to cognitive leakage, impacting developer capabilities and system maintenance.

From Data to Decision: AI-Driven Quick BI Architecture Design and Practice

Alibaba Cloud Quick BI integrates large models, achieving AI-driven BI transformation.

From Data to Decision: AI-Driven Quick BI Architecture Design and Practice

Alibaba Cloud Quick BI integrates large models, achieving AI-driven BI transformation.

Platform Engineering Maintenance Traps and Leading Smart Strategies

Platform engineering maintenance faces multiple challenges and requires automation and smart strategies to address them.

Platform Engineering Maintenance Traps and Leading Smart Strategies

Platform engineering maintenance faces multiple challenges and requires automation and smart strategies to address them.

AI Code Elements

Vercel releases AI SDK code components to help build AI programming applications.

AI Code Elements

Vercel releases AI SDK code components to help build AI programming applications.

How to Implement E-commerce Personalization Using Snowflake ML | Technical Practice

Snowflake ML provides a SQL-driven solution for e-commerce personalization.

How to Implement E-commerce Personalization Using Snowflake ML | Technical Practice

Snowflake ML provides a SQL-driven solution for e-commerce personalization.

Using Skills Mode in Vercel AI SDK Agents via bash-tool

Vercel AI SDK agents now support Skills mode via bash-tool.

Using Skills Mode in Vercel AI SDK Agents via bash-tool

Vercel AI SDK agents now support Skills mode via bash-tool.

Kubernetes Promotes AI Development, Organizational Culture Remains the Decisive Factor

K8s becomes the AI foundation, culture is the biggest obstacle.

Kubernetes Promotes AI Development, Organizational Culture Remains the Decisive Factor

K8s becomes the AI foundation, culture is the biggest obstacle.

ClickHouse Completes $400 Million D Round Led by Dragoneer to Accelerate Expansion in Analytics and AI Infrastructure

ClickHouse D-round funding, entering AI and Postgres.

ClickHouse Completes $400 Million D Round Led by Dragoneer to Accelerate Expansion in Analytics and AI Infrastructure

ClickHouse D-round funding, entering AI and Postgres.

Why AI Needs GPUs and TPUs: The Hardware Behind LLMs

Explaining GPU/TPU architecture and why they are more suitable for LLMs than CPUs.

Why AI Needs GPUs and TPUs: The Hardware Behind LLMs

Explaining GPU/TPU architecture and why they are more suitable for LLMs than CPUs.

2025 Year Vue Ecosystem Star Projects

Review of 2025 Vue ecosystem star projects and technical trends.

2025 Year Vue Ecosystem Star Projects

Review of 2025 Vue ecosystem star projects and technical trends.

Essential

How Netflix Built a Real-Time Distributed Graph Database at Internet Scale

Netflix developed a real-time distributed graph to address microservices data silos.

How Netflix Built a Real-Time Distributed Graph Database at Internet Scale

Netflix developed a real-time distributed graph to address microservices data silos.

Architectural Overhaul! DeepSeek's New Model Code Leaked, V4's Arrival is Making Everyone Nervous

DeepSeek's new model 'MODEL1' code leaks, indicating an architectural overhaul in V4.

Architectural Overhaul! DeepSeek's New Model Code Leaked, V4's Arrival is Making Everyone Nervous

DeepSeek's new model 'MODEL1' code leaks, indicating an architectural overhaul in V4.

Idealists Fail to Stop AI from Entering the 'Battlefield' of Iran

AI technology is increasingly entering the military domain, rendering idealist governance calls ineffective.

Idealists Fail to Stop AI from Entering the 'Battlefield' of Iran

AI technology is increasingly entering the military domain, rendering idealist governance calls ineffective.

Menguan LongCat-Flash-Thinking-2601 Released, Tool Calling Capabilities Lead Open Source SOTA!

Menguan's large model tool calling capabilities are open-sourced and lead in open source SOTA.

Menguan LongCat-Flash-Thinking-2601 Released, Tool Calling Capabilities Lead Open Source SOTA!

Menguan's large model tool calling capabilities are open-sourced and lead in open source SOTA.

Dialogue: LLMs and the 'What/How' Cycle

LLMs should assist, not replace, the 'What/How' cycle in software development.

Dialogue: LLMs and the 'What/How' Cycle

LLMs should assist, not replace, the 'What/How' cycle in software development.

Node.js Creator Declares 'The Era of Handwritten Code is Over'! DHH Opposes the 'End' Narrative: Large Models Are Still Short of the Breath

Node.js Creator claims the era of handwritten code is over, DHH argues handwritten code still has competitiveness.

Node.js Creator Declares 'The Era of Handwritten Code is Over'! DHH Opposes the 'End' Narrative: Large Models Are Still Short of the Breath

Node.js Creator claims the era of handwritten code is over, DHH argues handwritten code still has competitiveness.

Unveiling Uber's Cross-Region Data Lake and Disaster Recovery Mechanism: 350PB Data, Millions of Events, Single System

Uber builds HiveSync to achieve cross-region data lake disaster recovery.

Unveiling Uber's Cross-Region Data Lake and Disaster Recovery Mechanism: 350PB Data, Millions of Events, Single System

Uber builds HiveSync to achieve cross-region data lake disaster recovery.

AI Hits the 'Data Ceiling,' A Quiet Revolution is Taking Place

AI faces data bottlenecks; Alibaba Cloud PolarDB introduces a new AI-ready database standard.

AI Hits the 'Data Ceiling,' A Quiet Revolution is Taking Place

AI faces data bottlenecks; Alibaba Cloud PolarDB introduces a new AI-ready database standard.

Meituan Releases LongCat-Flash-Thinking-2601, Achieving State-of-the-Art in Open-Source Tool Invocation

Meituan opensources its large model's tool invocation capabilities, achieving open-source SOTA.

Meituan Releases LongCat-Flash-Thinking-2601, Achieving State-of-the-Art in Open-Source Tool Invocation

Meituan opensources its large model's tool invocation capabilities, achieving open-source SOTA.

General

Automating Export of Amazon RDS for MySQL or Amazon Aurora MySQL Audit Logs to Amazon S3, Supporting Batch or Near Real-time Processing

AWS provides two audit log export to S3 solutions.

Automating Export of Amazon RDS for MySQL or Amazon Aurora MySQL Audit Logs to Amazon S3, Supporting Batch or Near Real-time Processing

AWS provides two audit log export to S3 solutions.

Cloudflare Introduces Aggregation Features in R2 SQL, Boosting Data Analysis Capabilities

Cloudflare R2 SQL introduces aggregation functions, enabling data analysis directly on object storage.

Cloudflare Introduces Aggregation Features in R2 SQL, Boosting Data Analysis Capabilities

Cloudflare R2 SQL introduces aggregation functions, enabling data analysis directly on object storage.

Android Studio Otter Optimizes Proxy Workflows and Enhances LLM Flexibility

Android Studio Otter enhances LLM flexibility, supporting multi-model and device interaction.

Android Studio Otter Optimizes Proxy Workflows and Enhances LLM Flexibility

Android Studio Otter enhances LLM flexibility, supporting multi-model and device interaction.

Vercel Agent One-Click Code Suggestions

Vercel Agent supports one-click application of code suggestions, enhancing development efficiency.

Vercel Agent One-Click Code Suggestions

Vercel Agent supports one-click application of code suggestions, enhancing development efficiency.

How to Free Call GLM4.7 via NVIDIA Platform Tutorial

Tutorial on how to freely call GLM4.7 and other large model APIs via NVIDIA Build platform.

How to Free Call GLM4.7 via NVIDIA Platform Tutorial

Tutorial on how to freely call GLM4.7 and other large model APIs via NVIDIA Build platform.

Cron Jobs Now Visible in Deployment Summary

Vercel now allows users to view Cron Jobs directly in the deployment summary.

Cron Jobs Now Visible in Deployment Summary

Vercel now allows users to view Cron Jobs directly in the deployment summary.

Global Highlights on January 21, 2026

Daily global news brief on January 21, 2026.

Global Highlights on January 21, 2026

Daily global news brief on January 21, 2026.

No.89 RisingStars 2025 Annual List: The Inevitable Frontend AI

Podcast discusses the 2025 Rising Stars list, with a focus on frontend AI.

No.89 RisingStars 2025 Annual List: The Inevitable Frontend AI

Podcast discusses the 2025 Rising Stars list, with a focus on frontend AI.

How to Determine if a USB Device is a Storage Device?

Determine if a USB device is a storage device using device class codes.

How to Determine if a USB Device is a Storage Device?

Determine if a USB device is a storage device using device class codes.

LDN 1622: The Dark Nebula in Orion

NASA releases an image of the LDN 1622 dark nebula.

LDN 1622: The Dark Nebula in Orion

NASA releases an image of the LDN 1622 dark nebula.

Primary

The Consequences of Cognitive Leakage from Software Abstraction

Thoughtworks•Published on January 21

Insight•Software Engineering Theory•Score: 8/10

Software AbstractionCognitive LoadTechnical DebtPlatform EngineeringLow-CodeAI-Assisted Programming

Source

◆

From Data to Decision: AI-Driven Quick BI Architecture Design and Practice

InfoQ - AI & LLM•Published on January 21

Insight•Business Intelligence (BI)•Score: 7/10

AI-Driven BIQuick BINL2SQLLarge ModelsData AnalysisAgentAlibaba Cloud

Source

◆

Platform Engineering Maintenance Traps and Leading Smart Strategies

CNCF•Published on January 21

Insight•Platform Engineering•Score: 7/10

Platform EngineeringKubernetesDevOpsMaintenance StrategyOpen Source SoftwareHelmContinuous Delivery

⚠️

Notable

1. Many of the issues discussed are entry-level pain points in platform engineering, something any platform engineer would encounter after a few years. The proposed solutions are also quite macro-level, with no detailed implementation steps or ROI analysis. 2. The phrase 'automate the identification of new versions and create PRs' sounds easy, but the maintenance cost of scripts might be higher than manual updates, especially when upstream APIs or Chart structures change frequently. 3. The 'infinite responsibility' argument for platform engineers, emphasizing that everything must be managed and owned, lacks sufficient discussion on how to balance team resources, technical boundaries, and business needs. In reality, resources are always limited, and it's impossible to do everything perfectly.

Source

◆

AI Code Elements

Vercel News•Published on January 21

Insight•AI Development / Frontend Tools•Score: 7/10

Vercel AI SDKCode GenerationIDE ComponentsFrontend AI

Source

◆

How to Implement E-commerce Personalization Using Snowflake ML | Technical Practice

InfoQ - AI & LLM•Published on January 22

Insight•Data Intelligence/Machine Learning Platform•Score: 7/10

Snowflake MLE-commerce PersonalizationSQL Machine LearningData Platform

Source

◆

Using Skills Mode in Vercel AI SDK Agents via bash-tool

Vercel News•Published on January 21

Insight•AI Development / Agent Technology•Score: 7/10

Vercel AI SDKAI Agentbash-toolSkills Mode

Source

◆

Kubernetes Promotes AI Development, Organizational Culture Remains the Decisive Factor

CNCF•Published on January 20

Insight•Cloud-Native Infrastructure•Score: 7/10

KubernetesAI InfrastructureCloud-NativeGitOpsOrganizational Culture

📈

Perspectives

1. Leading domestic internet companies and emerging AI firms have already widely implemented K8s to support AI, such as Baidu PaddlePaddle and Alibaba Cloud PAI, which provide similar capabilities. 2. In contrast, cultural issues are equally prominent in the domestic market, but they are often less addressed in official reports. The domestic market places greater emphasis on ROI, and cultural transformation must be supported by tangible cost-saving and efficiency-enhancing results. 3. For teams with limited resources, building a complete K8s+AI platform from scratch is not as effective as leveraging managed AI services or domain-specific PaaS solutions provided by cloud service providers, such as Alibaba Cloud's Container Service ACK and Tencent Cloud's TKE, to reduce operational burdens.

Source

◆

ClickHouse Completes $400 Million D Round Led by Dragoneer to Accelerate Expansion in Analytics and AI Infrastructure

InfoQ - Big Data•Published on January 20

News•Database and Big Data•Score: 7/10

ClickHouseD-round fundingAI infrastructureLLM observabilityPostgreSQL service

⚠️

Notable

1. Although ClickHouse excels in performance, it still has weaknesses in transactional scenarios. The newly launched Postgres service appears to be a workaround, attempting to fill the gap, but whether an analytics database company can truly deliver seamless integration and maintenance remains questionable. 2. LLM observability is indeed a critical need, but the market is highly competitive, with Weights & Biases and MLflow already occupying key positions. While Langfuse is open-source, its ability to keep up with rapid iteration and meet complex enterprise requirements still needs to be observed. 3. Funding news often comes with valuation bubbles, and $400 million for a database as an infrastructure product signifies extremely high market expectations. Balancing the open-source community, commercial products, and capital returns will be a significant challenge.

📈

Perspectives

1. Domestically, ClickHouse has a large user base, but most are using self-built or private deployments. Its cloud service ClickHouse Cloud will face competition from Alibaba Cloud's Tablestore and Tencent Cloud's CKV, which are native cloud analytics databases. 2. LLM observability is also a hot topic in China, with platforms such as ModelScope and Baidu's BML exploring the space. If Langfuse can accelerate localization and enterprise-grade feature adaptation, it may capture a share of the market. 3. The idea of combining Postgres with ClickHouse has already been implemented domestically, for example, some companies use CDC tools (such as Debezium) to synchronize Postgres data in real-time to ClickHouse for analysis. Whether ClickHouse's official solution can offer a smoother experience is worth watching.

Source

◆

Why AI Needs GPUs and TPUs: The Hardware Behind LLMs

Juejin Frontend Hottest•Published on January 20

Insight•Hardware Architecture•Score: 6/10

GPUTPULLMParallel Computingvon Neumann Bottleneck

Source

◆

2025 Year Vue Ecosystem Star Projects

Juejin Frontend Hottest•Published on January 20

Insight•Frontend Framework/UI Library•Score: 6/10

Vue ecosystem2025 year listVapor ModeViteFrontend toolchain

Source

Essential

How Netflix Built a Real-Time Distributed Graph Database at Internet Scale

ByteByteGo•Published on January 21

Insight•Distributed System Architecture•Score: 9/10

NetflixReal-Time Graph DatabaseDistributed SystemApache KafkaApache FlinkApache CassandraKVDAL

⚠️

Notable

1. The article praises Netflix's prowess throughout, but its self-developed KVDAL solution is essentially a graph simulation layer on Cassandra, losing many native graph database advantages, such as complex graph traversal efficiency. For multi-hop queries or scenarios requiring complex graph algorithms, performance could become a bottleneck. 2. Maintaining a complex distributed cluster with multiple open-source components like Kafka, Flink, and Cassandra requires significant operational overhead and a high level of team expertise, which is not feasible for most companies. Netflix's scale is what makes it possible. 3. While it appears to resolve data silos, it actually moves data from individual microservice databases into a larger centralized 'island'. If RDG becomes a bottleneck, the complexity it introduces may surpass the previous microservices silo issues.

Source

◆

Architectural Overhaul! DeepSeek's New Model Code Leaked, V4's Arrival is Making Everyone Nervous

InfoQ - AI & LLM•Published on January 21

News•Large Model Technology•Score: 9/10

DeepSeek V4MODEL1LLM ArchitectureKV CacheFP8Blackwell GPUMLAEngram

Source

◆

Idealists Fail to Stop AI from Entering the 'Battlefield' of Iran

InfoQ - AI & LLM•Published on January 21

News•AI Ethics and Governance•Score: 9/10

AI WarfareFake InformationAI GovernanceDefense TechnologyMilitary-Industrial ComplexGenerative AIMilitary Applications

🔬

Tech Insights

1. Generative AI is being used to create fake videos and images, confusing public perception in regions like Iran and making it difficult for people to distinguish information authenticity, thereby increasing the complexity of information warfare. 2. AI technology has been deeply integrated into military operations, such as autonomous navigation, target recognition, drone swarm combat, and intelligence processing, making the battlefield a rapid testing and iteration ground for AI technologies. 3. Technology companies, financial capital, and national security apparatuses are forming a close alliance, with Silicon Valley and Israel shifting investment toward defense technology. OpenAI, Meta, and Google are also relaxing restrictions on AI for military applications, highlighting the triple failure of AI governance (moral consensus, international mechanisms, corporate self-regulation).

Source

◆

Menguan LongCat-Flash-Thinking-2601 Released, Tool Calling Capabilities Lead Open Source SOTA!

Juejin Frontend Hottest•Published on January 19

Insight•Large Models and Agents•Score: 9/10

Large ModelAgentic Tool UseHeavy Thinking ModeGeneralization AbilityMenguan

⚠️

Notable

1. Models open-sourced by companies like Menguan are often deeply customized and optimized for their internal business scenarios, and while they claim SOTA performance in general domains, their generalizability across different ecosystems remains unverified by the community. 2. The "Heavy Thinking Mode" sounds promising, but the parallel inference paths and subsequent summarization can lead to significant inference latency and computational resource consumption, which may not be suitable for C-end applications that require real-time responses. 3. Although the weights and code are open-sourced, the computational cost of deploying large models is high, making it difficult for small teams or individual developers to replicate the performance in production environments, making it more of a "tech showoff" than a "low barrier to entry" approach.

Source

◆

Dialogue: LLMs and the 'What/How' Cycle

Martin Fowler•Published on January 21

Insight•Software Engineering Theory•Score: 8/10

LLMSoftware DesignCognitive LoadTDDAbstractionMartin Fowler

Source

◆

Node.js Creator Declares 'The Era of Handwritten Code is Over'! DHH Opposes the 'End' Narrative: Large Models Are Still Short of the Breath

InfoQ - AI & LLM•Published on January 21

Insight•Software Engineering Culture•Score: 8/10

AI programmingRyan DahlDHHNode.jsRuby on RailsLarge ModelsProgramming Philosophy

⚠️

Notable

1. Ryan Dahl's 'end' narrative is overly radical and abrupt, potentially causing unnecessary industry anxiety. Although AI excels in specific tasks, human creativity, system-level understanding, and complex decision-making capabilities are far beyond what current AI can fully replace. 2. While DHH provides personal practice examples (Fizzy with 95% handwritten code), his experience is highly personal preference-driven and tied to specific team culture (37signals' emphasis on minimalism and brevity), which may not represent the general situation of development teams. 3. DHH's comparison of cloud computing's 'cost trap' to AI's potential 'high productivity but low efficiency' is reasonable, but lacks quantitative data support, remaining at the level of personal observation and experience.

Source

◆

Unveiling Uber's Cross-Region Data Lake and Disaster Recovery Mechanism: 350PB Data, Millions of Events, Single System

InfoQ - Big Data•Published on January 22

Insight•Big Data/Data Lake•Score: 8/10

Uber HiveSyncData Lake Disaster RecoveryHDFS ReplicationCross-Region Synchronization

Source

◆

AI Hits the 'Data Ceiling,' A Quiet Revolution is Taking Place

InfoQ - Big Data•Published on January 22

Insight•AI Native Databases•Score: 8/10

AI Data CeilingData EngineeringCloud Native DatabasePolarDBAgent ApplicationReal-time Data

🔬

Tech Insights

1. In the AI era, data users have shifted from humans to models, leading to a mismatch between traditional ETL data cleaning methods and model requirements. 'Clean data' does not equate to 'high-quality training data.' 2. AI-ready data emphasizes sufficient features, accurate labels, comprehensive real-world coverage, and dynamic data updates. 3. PolarDB achieves AI Data Lake Database (Lakebase) through a unified lake and database architecture, and introduces model operator services to internalize inference capabilities within the database kernel, enabling direct semantic search and inference within the database. 4. The storage and compute separation architecture ensures stability for Agent applications that frequently access the database, and provides a production-grade Agent development framework.

Source

◆

Meituan Releases LongCat-Flash-Thinking-2601, Achieving State-of-the-Art in Open-Source Tool Invocation

Meituan Tech•Published on January 20

News•Large Models and Agents•Score: 8/10

Large ModelsAgentic Tool UseHeavy Thinking ModeGeneralization CapabilitiesMeituan

⚠️

Notable

1. Models open-sourced by companies like Meituan are often deeply customized and optimized for their internal business scenarios, so although they claim to achieve SOTA in general domains, their applicability across different tool ecosystems still needs community validation. 2. While the 'Heavy Thinking Mode' sounds promising, the parallel reasoning paths and subsequent summarization lead to significant inference latency and computational resource consumption, which may not be suitable for real-time C-end applications. 3. Although the model weights and code are open-sourced, the computational cost of deploying large models remains high, making it difficult for small teams or individual developers to replicate its performance in production environments. This appears more like a technical demonstration than a 'low-threshold access' initiative.

Source

General

Automating Export of Amazon RDS for MySQL or Amazon Aurora MySQL Audit Logs to Amazon S3, Supporting Batch or Near Real-time Processing

AWS - Databases•Published on January 21

News•Database Operations•Score: 6/10

RDS for MySQLAurora MySQLAudit LogsAmazon S3AWS CloudWatch LogsAmazon Data FirehoseAWS LambdaEventBridge

Source

◆

Cloudflare Introduces Aggregation Features in R2 SQL, Boosting Data Analysis Capabilities

InfoQ - Big Data•Published on January 22

News•Distributed Storage and Analytics•Score: 6/10

Cloudflare R2SQL AggregationObject StorageEdge ComputingData Analysis

⚠️

Notable

1. Performing SQL aggregation analysis directly on object storage sounds appealing, but its performance and concurrency capabilities are inevitably inferior to specialized OLAP databases or data warehouses. In production, it may still face limitations. 2. Cloudflare R2's strength lies in its edge and no egress fee, but embedding analytical capabilities may cause ambiguity in feature boundaries, potentially leading users to misuse it in performance-sensitive scenarios and increasing operational costs. 3. The claim of 'no need to manage complex OLAP infrastructure' is a common vendor marketing tactic. In reality, data cleaning, transformation, and model training still require professional data warehouse or data lake solutions, with R2 SQL addressing only a small part of the pain points.

Source

◆

Android Studio Otter Optimizes Proxy Workflows and Enhances LLM Flexibility

InfoQ - AI & LLM•Published on January 22

News•Development Tools•Score: 6/10

Android StudioLLMAI-Assisted DevelopmentProxy ModeNatural Language Testing

Source

◆

Vercel Agent One-Click Code Suggestions

Vercel News•Published on January 21

News•Development Efficiency Tools•Score: 5/10

Vercel AgentCode ReviewAI-Assisted ProgrammingPull RequestDevelopment Tool

Source

◆

How to Free Call GLM4.7 via NVIDIA Platform Tutorial

Juejin Frontend Hottest•Published on January 17

News•Large Model Application•Score: 5/10

NVIDIA BuildGLM4.7LLM APIFree ModelAI AgentModel Invocation

📈

Perspectives

In the current environment where large model APIs are generally paid, the NVIDIA Build platform's offer of free API calls is a major benefit for individual learning and experimentation. There are also similar developer platforms in China providing free API quotas, such as Zhipu Qingyan and Wenxin Yiyan. However, the limitations of free services (such as model versions, call frequency, and stability) often affect practical engineering applications. For commercial projects, such free platforms can only serve as initial exploration tools, and companies will eventually need to transition to more stable and feature-rich paid services or self-deployments. The practical experience with GLM4.7 also reminds us that not all popular models are suitable for every scenario, 'a model that can reliably complete tasks is a good model', a principle applicable to all large model selection processes.

Source

◆

Cron Jobs Now Visible in Deployment Summary

Vercel News•Published on January 21

News•DevOps/Serverless•Score: 5/10

Vercel Cron JobsDeployment ManagementServerlessDevOps

Source

◆

Global Highlights on January 21, 2026

Global Vision•Published on January 21

News•Global News•Score: 5/10

Proba-3TrumpUkraine-Russia CrisisDavos ForumBYD SalesSpain High-Speed Rail Accident

Source

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No.89 RisingStars 2025 Annual List: The Inevitable Frontend AI

Web Worker•Published on January 22

News•Frontend Development/AI Applications•Score: 5/10

Rising Stars 2025Frontend AIN8Nshadcn/uiVite

Source

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How to Determine if a USB Device is a Storage Device?

InfoQ - Frontend•Published on January 20

Insight•Embedded Development•Score: 5/10

USB devicestorage deviceUSB class codedevice identification

Source

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LDN 1622: The Dark Nebula in Orion

NASA APOD•Published on January 22

News•Cosmic Astronomy•Score: 1/10

LDN 1622Dark NebulaOrionNASA Astronomy