Actions to improve impact intelligence
A guide for CTOs on improving impact intelligence to connect tech work to business outcomes, with actionable steps and examples.
A guide for CTOs on improving impact intelligence to connect tech work to business outcomes, with actionable steps and examples.
A front-end developer discusses the importance of user choice in selecting and copying code snippets, using a CSS gradient example.
A guide to using Python packages like 'markdown' and 'markdownify' to parse, convert, and work with Markdown formatted text in applications.
A developer details performance optimizations for a macOS disk usage tool, achieving a 28% speed increase by switching from Tokio to Rayon for parallelism.
A tutorial on using GitHub Copilot to automatically generate Conventional Commit messages in VS Code and IntelliJ IDEA.
A rebuttal to Marcus Hutchins' critique of AI, arguing that his definition of intelligence as 'novel discovery' wrongly devalues most knowledge work.
Updated T-SQL diagnostic queries for SQL Server (August 2025) to analyze instance configuration and performance across versions.
Explores how Agentic AI is transforming IT operations (ITOps) by moving beyond traditional AIOps to automate tasks like service desk and knowledge management.
A guide for CTOs on measuring the business impact of tech initiatives, moving beyond productivity metrics to connect work to outcomes.
A rebuttal to Dwarkesh Patel's skepticism about near-term AGI, arguing his limited AI usage experience leads to flawed conclusions.
A developer's personal reflection on struggling to integrate AI coding tools effectively, feeling left behind despite the hype.
A web developer reflects on 10 years of successful collaboration with his brother, highlighting their complementary skills in building design systems and teaching.
A practical guide to fixing Google Chrome when it crashes immediately on startup on macOS, focusing on corrupted session data.
A guide to capturing and analyzing Java thread dumps to identify performance bottlenecks, deadlocks, and CPU issues.
Poltergeist is an AI-friendly universal file-watcher tool that automatically rebuilds projects when files change, speeding up development cycles.
A software engineer's reflection on why buggy software is released, using personal anecdotes about frustrating apps and websites.
Explains the difference between confirmed_flush_lsn and restart_lsn in PostgreSQL replication slots for troubleshooting and optimization.
Explains the difference between restart_lsn and confirmed_flush_lsn in PostgreSQL replication slots for troubleshooting and optimization.
An experiment testing the limits of autonomous AI code generation for a Spring Boot app, revealing current limitations and the need for human oversight.
Explores three AKS VMSS node pool deployment models and practical lessons on handling deallocated nodes during zonal capacity issues.