A blog post about shrinking Java JAR files using the femtojar Maven plugin, reducing CLI tool sizes by up to 50%.
A curated list of interesting tech links for April 2026, covering data engineering, analytics, and AI integration.
Guide to setting up Xcode MCP with Claude Code for seamless AI-assisted Swift development, including auto-approving connection dialogs.
Discussion on whether WebAssembly is a true stack machine, comparing it to Forth and analyzing its design.
Developer improves pimsync with smarter timezone handling, TLS fingerprints, I/O timeouts, and database cleanup.
Explains why local git clones are a better alternative to git worktrees for managing parallel development workflows.
A blog post detailing various website optimization and maintenance tips, including code refactoring, design tweaks, and dependency management.
Hardwood 1.0.0.Beta2 release adds VARIANT support, interactive Parquet TUI, and performance improvements for Apache Parquet parsing.
Hardwood 1.0.0.Beta2 release adds VARIANT support, interactive Parquet TUI, and performance improvements.
Raspberry Pi Connect may soon support remote controlling Windows PCs, expanding its free remote access service beyond Raspberry Pi devices.
Explores why Enterprise AI is an engineering challenge, not the end of software engineering, emphasizing system integration and control.
Martin Fowler discusses Chris Parsons' updated guide on using AI for coding, emphasizing verification and harness engineering in software development.
A critical perspective on GitHub's decline, arguing its proprietary nature contradicts open-source values and hoping it encourages migration to open platforms.
EF Core 11.0 introduces JsonPathExists and JsonContains for querying JSON columns without raw SQL.
A blog post arguing that startups should prioritize shipping imperfect solutions over waiting for perfection to maintain momentum.
Explains why table formats like Apache Iceberg and Delta Lake are essential for reliable data lakes, solving atomic commits, schema evolution, and time travel.
A technical deep dive comparing metadata structures of modern table formats like Apache Iceberg, Delta Lake, and Hudi for data lakes.
Explains how Apache Iceberg enables partition evolution without rewriting data, solving a major data lake challenge.
Explains how Apache Iceberg uses metadata for data skipping, enabling fast query performance by eliminating 90-99% of files before scanning.
Explains how Apache Iceberg's hidden partitioning prevents accidental full table scans by automatically mapping source column filters to partition values.
