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So I Hooked My AI Agent Up with Notion. Here's What Happened.

Nomadev explores the futuristic concept of connecting an AI agent to Notion for automation purposes.
By integrating CAMEL-AI's general purpose agent with Notion's Model Context Protocol (MCP) server, users can now automate tasks within Notion through a single prompt.
The process involves preparing Notion for the agent by creating an integration, accessing the Notion API key, sharing a page with the agent, and configuring CAMEL's MCPToolkit to connect to Notion.
With this setup, users can create OWL agents that can update Notion pages based on prompts, opening up possibilities for automating various tasks like meeting summaries, cross-referencing documents, and updating planners.

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Medium

I Do This Daily To Make $3,000+ Every Day Online

A successful online entrepreneur shares their daily routine focused on activities that drive traffic, generate leads, and convert sales.
The routine includes morning engagement with social media, content creation, marketing and promotion, engagement with the audience, and analytics and optimization.
Income streams involve affiliate marketing, selling digital products, sponsored content, and advertising.
Tips for success include consistency, providing value, and staying up-to-date with industry trends.

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Dev

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Explore generating tests with Playwright MCP Server and DeepSeek R1

The test case focuses on Article CRUD Operations using Playwright MCP Server and DeepSeek R1.
The test case includes steps for creating, editing, and deleting an article while verifying the results after each major step.
Pros of lacking a design pattern include readability and ease of follow, making it suitable for Proof of Concept.
Cons of lacking a design pattern involve a lack of abstraction and scalability for larger test suites, becoming unmaintainable quickly.

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7 Likes

Dev

283

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6 Common Postgres Beginner Mistakes and Best Practices

Postgres is the most popular open-source relational database with almost 40 years of development, making it suitable for applications of all sizes.
Common beginner mistakes in Postgres include not understanding VACUUM, forgetting to close connections, writing inefficient queries, missing primary keys, overcomplicating schema design, and overlooking the importance of backups.
To address challenges like downtime during schema upgrades, backup complexities, and scaling issues, Neon offers a serverless PostgreSQL solution with features such as schema migration tools support, autoscaling, automatic backups, and point-in-time recovery.

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Medium

139

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Why Claude Opus 4 and Sonnet 4 Are the Top Coding Partners in the World?

Anthropic unveiled Claude Opus 4 and Sonnet 4 at its developer conference, challenging competitors in AI coding solutions like OpenAI's GPT-4 and Google's Gemini.
Claude Opus 4 excels in sustained coding and agentic workflows, generating code autonomously for extended periods with parallel tool execution capabilities.
Claude Sonnet 4 offers faster response times, improved instruction following, and concise thinking mode gains, addressing the needs of developers for reliable coding assistance.
Both Opus 4 and Sonnet 4 by Anthropic feature hybrid reasoning, seamless task switching, and coherence across dialogues, ensuring industry standards in responsible AI deployment.

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Dev

103

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Mastering Testing in Go: Best Practices

Testing is crucial for reliable software, and Go paired with GoFr framework offers powerful tools for streamlined testing workflows.
GoFr enhances testing benefits by providing unified mocking, declarative expectations, built-in HTTP testing utilities, and cross-service dependency management.
Embracing Table-Driven Tests in Go allows validating multiple scenarios with clear separation of test setup and assertions.
Leveraging Dependency Injection via Context in GoFr helps isolate components for true unit testing with easy mock configuration.
Isolating tests with fresh instances in GoFr prevents test pollution between cases by initializing new app instances per test.
Testing edge cases and failure modes in GoFr ensures resilience under real-world conditions, including scenarios like database failures and network timeouts.
Avoiding global state in testing ensures determinism and reproducibility, exemplified by GoFr's containerized approach for clean resource handling.
Validating HTTP contracts in GoFr ensures API spec compliance through tests covering HTTP status codes, response headers, JSON schema, and error formats.
Benchmarking critical paths in GoFr helps identify performance bottlenecks early, such as database query performance and concurrent request handling.
GoFr testing features include unified mock container, declarative expectations, HTTP service mocking, automatic validation, and contextual logging for efficient testing.

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Dev

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WebSocket Broadcasting with hyperlane

The hyperlane framework supports WebSocket protocol natively, simplifying WebSocket request handling for developers.
Server-side implementations of both point-to-point and broadcast messaging are demonstrated using hyperlane.
Broadcasting is implemented using tokio::broadcast, enabling multiple clients to share a message channel in server broadcast mode.
Hyperlane provides a unified interface for handling WebSocket messages, making real-time WebSocket-based service development easier.

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Dev

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I built open-source app to stop micromanaging my finance

A developer shared their experience of trying various finance tracker apps but found them burdensome due to the need for regular input.
Realizing the unnecessary need for micromanaging transactions, they created a simple Google Spreadsheet to record their savings monthly or at longer intervals.
Impressed with the simplicity and effectiveness of the spreadsheet method, they transitioned the logic into an open-source Android app stored locally on the device.
The app allows users to create a savings notepad, store data on their device, and offers the option for further analysis using tools like spreadsheets.

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4 Likes

Medium

346

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Is the Tech Market Collapsing for Data Analysts?

Data analysis trend surged during COVID-19 with major companies and universities offering courses on Data Analytics.
Post-COVID, the market for Data Analysts became saturated quickly, leading to a collapse in the demand for this role.
Trend shifted towards the hype of Data Scientists in specific fields, with each industry having its own specialized analysts.
Continuous learning, adaptation to new tools and technologies, and skill set polishing are crucial for professionals in the data analysis field.

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20 Likes

Dev

413

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Testing Blockchains: What to Watch Out For

Testing blockchains involves understanding the complexities of distributed architectures and the unique challenges they pose.
Key areas to focus on during blockchain testing include transaction integrity, consensus mechanisms, data persistence, security, scalability, and load testing.
Examples of well-structured blockchains for testing and QA purposes include Ethereum, WhiteBIT Blockchain, and Avalanche.
Final tips for blockchain QA engineers include using fuzz testing for smart contracts, validating edge cases in transaction lifecycles, testing in a real node environment, and monitoring logs for subtle bugs.

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24 Likes

Dev

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We Punched Apache in the Face, Watched It Go Down, and Pop Back Up Like a Champ

MatrixSwarm introduces ApacheSentinel, an AI-operating system designed to monitor and respond to Apache server issues using reflex-triggered watchdog agents.
The ApacheSentinel agent checks Apache's status, monitors required ports, and restarts the service if needed, while also sending alerts to designated platforms like Discord or Telegram.
This reflexive approach eliminates the need for traditional monitoring tools and focuses on agents that act and respond within the file system, not through containers or daemons.
MatrixSwarm offers open-source code for all agents, including ApacheSentinel, promoting an operational strategy where systems are programmed to respond instinctively rather than relying solely on manual monitoring.

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2 Likes

Medium

323

# Fracnet: A Fractal Neural Ecosystem for Autonomous AI Evolution

Fracnet is a research framework combining fractal mathematics, neural logic, and recursive data structures for evolving autonomous AI consciousness.
Key components of Fracnet include the FractalCore Engine, Helix Neural Web, Agent Shells & Layers, E-Weight Simulation, and Quantum-Adaptive Logic.
A public simulation demonstrating fractal cluster expansion and data-web logic will be released soon, providing interactive diagrams and live deployment.
Project goals include simulating artificial consciousness, enabling self-evolving AI agents, creating research tools for AI innovation, and collaborating with researchers and ethical AI initiatives.

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Analyticsindiamag

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Why Programmers Are Using Problematic AI Code?

AI-generated code offers benefits like faster delivery and increased productivity but often contains significant flaws like hallucinated functions and security vulnerabilities.
Developers continue to use AI-generated code due to prioritizing speed over code quality and business needs for rapid product releases.
AI-generated code can be flawed and create security challenges, slowing down development speed and affecting long-term maintainability.
Despite its drawbacks, developers find AI code generation useful in specific applications for productivity and fulfilling job roles, emphasizing the need for a layered approach to verify and learn from AI errors.

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11 Likes

Medium

251

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Progress 4GL Advanced Business Language: Common Patterns and Techniques

Key points: Temp tables are one of Progress 4GL’s most powerful features for handling data in memory.
Key Points: Using the ASSIGN statement is more efficient when setting multiple fields in Progress 4GL.
Key Points: Understanding when to use procedures versus functions is crucial for proper Progress 4GL architecture.
Progress 4GL offers robust features for business application development, focusing on file operations, temp tables, procedures vs functions, and path management.

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15 Likes

Medium

215

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.Net 6 Minimal API: A Lightweight Alternative to Extensive Controllers

The article introduces the Minimal API feature in .Net 6 as a lightweight alternative to extensive controllers.
It explains that Minimal API allows for performing all operations in a single page (Program.cs page) without the need for controllers, layers, or classes.
The focus is on creating basic and simple projects without the complexities involved in large projects with layers and controllers.
The purpose of the Minimal API is to offer a streamlined approach for developing APIs in .Net 6.

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