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Articles, news, tutorials, and real-world lessons from modern builders.

Vector Databases: Embeddings, Similarity Search, and Indexing
DATA & AI

Vector Databases: Embeddings, Similarity Search, and Indexing

Understand vector databases, embeddings, similarity search, metadata filtering, vector indexes, and when to use pgvector or a dedicated vector database.

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Visual Regression Testing: Catch UI Changes Automatically
TESTING & QUALITY

Visual Regression Testing: Catch UI Changes Automatically

Learn visual regression testing with baselines, screenshot diffs, Playwright workflow, snapshot reviews, visual testing tools, and catching UI bugs before users see them.

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Python Files, Errors, and Modules: Writing Cleaner Scripts
Python

Python Files, Errors, and Modules: Writing Cleaner Scripts

Learn how to read files, write files, handle errors, create modules, import your own code, and organize cleaner Python scripts.

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Event Sourcing: Building Auditable Systems
SOFTWARE ARCHITECTURE

Event Sourcing: Building Auditable Systems

Understand event sourcing with practical examples, event streams, projections, audit trails, trade-offs, and when this architecture pattern is worth using.

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Schema Migrations in Production: Zero-Downtime Deployments
BACKEND & DATABASES

Schema Migrations in Production: Zero-Downtime Deployments

Learn how to run production database schema migrations safely with expand-and-contract changes, backfills, feature flags, and rollback planning.

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Python Functions and Data Structures: Lists, Tuples, Dicts, and Sets
Python

Python Functions and Data Structures: Lists, Tuples, Dicts, and Sets

Learn functions, parameters, return values, lists, tuples, dictionaries, sets, loops, and practical patterns for cleaner Python code.

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PostgreSQL Advanced: Window Functions and CTEs Explained
BACKEND & DATABASES

PostgreSQL Advanced: Window Functions and CTEs Explained

Understand PostgreSQL window functions and CTEs with practical examples for ranking, running totals, query organization, and readable analytics.

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Technical Estimation: Improving Accuracy Without Over-Planning
PRAGMATIC ENGINEERING

Technical Estimation: Improving Accuracy Without Over-Planning

Improve technical estimation with clearer scope, uncertainty ranges, risk discovery, feedback loops, and lightweight planning habits.

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Python Fundamentals: Variables, Types, and Control Flow
Python

Python Fundamentals: Variables, Types, and Control Flow

Learn Python fundamentals from scratch: variables, data types, operators, input/output, if statements, loops, and a simple practice script.

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