Dev

Will list here some AI-assisted coding tools and AI Coding Assistants and their nice sides.

In my new Go project that was using GORM I started getting error: pq: got 2 parameters but the statement requires 1

DBeaver is a universal database management tool and SQL client designed for developers, database administrators, analysts, and anyone who works with data professionally.

Venv is a virtual environment management commandline tool. A much more simple one, comparing to Anaconda. Here are some useful venv commands.

Short comparison of the RabbitMQ on AWS EKS and AWS SQS

• features and costs.

I aggregated Visual Studio Code extension installation statistics by programming language and framework. Python leads by a wide margin, then C/C++ is second.

Vibe coding is an AI-driven programming approach where developers describe desired functionality in natural language and let AI tools generate the code automatically — with minimal direct writing.

Most frequently used commands in Visual Studio Code

Here are some effective methods for decoding and printing JWT tokens directly from the command line:

I’ve used MMDetection (mmengine, mdet, mmcv) quite a bit, And now looks like it’s out of the game. It’s a pity. I liked it’s model zoo.

Some time ago I described how to Deploy Flutter project with backend to AWS Amplify.

Use PyInstaller to package Python programs as standalone executables. It works on Linux, Windows, and Mac.

Not the most efficient way, but usable.

Here I list steps needed to implement pair of lambda functions in AWS SAM:

1. REST API Lambda: send message to SQS
2. SQS Lambda Trigger: process message from SQS

These are the step-by-step instructions on how to add layers to AWS Lambdas - in Python. Will be using base code generated by standard HelloWorld template example.

Here’s a Conda Cheatsheet I’ve compiled some time ago… This Conda Cheatsheet is covering the most essential commands and tips for managing environments, packages, and channels I’ve found useful.

Reranking is a second step in Retrieval Augmented Generation (RAG) systems, right between Retrieving and Generating.