Now he'll blame the job market: Bengaluru techie reveals candidate with 13-year experience fails basic coding test in interview

The post quickly went viral, and many users commented on the discrepancy between the candidate's claims and actual skills.

Bengaluru techie recounts candidate with 13 years’ experience failing basic coding test: “Now he’ll blame the job market

Bengaluru techie opens up about interviewing a 13-year-experienced candidate who failed basic coding and SQL. | Trending ...
GitHub

SQLBarber: Leverageing Large Language Models Generate Customized and Realistic SQL Workloads (SIGMOD 2026)

Database research and development often require a large number of SQL queries for benchmarking purposes. However, acquiring real-world SQL queries is challenging due to privacy concerns, and existing ...
IEEE

Optimization-Based Automated Parking Trajectory Planning in Unstructured Environments With Efficient Obstacle Query

Abstract: Autonomous parking trajectory planning in unstructured environments with irregular obstacles must address the challenges posed by non-convex obstacle constraints. Due to the coupling between ...

Perplexity takes its ‘Computer’ AI agent into the enterprise, taking aim at Microsoft and Salesforce

Perplexity announced Computer for Enterprise at its Ask 2026 developer conference, launching a multi-model AI agent with ...
InfoQ

Google BigQuery Previews Cross-Region SQL Queries for Distributed Data

Google Cloud has recently announced the preview of a global queries feature for BigQuery. The new option lets developers run SQL queries across data stored in different geographic regions without ...
IEEE

AES-SQL: Text-to-SQL Based on Adaptive Prompting and Intelligent Example Selection

Abstract: Large Language Models have greatly enhanced the Text-to-SQL task. In this paper, we propose AES-SQL, an LLM-based approach based on few-shot Learning. We adjust the structure of the adaptive ...
GitHub

A powerful FastAPI-based REST API that converts natural language questions into SQL queries using OpenAI's language models and LangChain.

The API implements a sophisticated multi-stage pipeline to efficiently convert natural language questions into SQL queries. The pipeline leverages multiple caching layers and entity extraction to ...