As AI makes code easier to produce, the strongest engineering leaders are teaching teams to protect the codebase from unnecessary complexity.
AI is speeding up coding, but production is still hitting bottlenecks—a paradox that requires intelligent solutions.
Lemon.io's 2026 rate report, based on real contracts with 2,500+ vetted developers, shows that senior software developer ...
Poor software quality is causing one in five companies to hemorrhage up to $5 million annually Critical industries, including financial services, retail and energy & utilities, are stuck choosing ...
Hannah Dacayanan of UnitedLex discusses ways in which automated software composition analysis tools identify open source ...
The real challenge starts after the code is written The most visible part of the AI boom is easy to recognize. A developer types a prompt, and something functional appears on the screen. A feature ...
Erik Steiger discusses the operational pain of legacy PDF generation in regulated banking and manufacturing. He explains how ...
Anthropic study finds AI coding agents now match engineers in task success, raising questions about the future of coding jobs ...
KATHMANDU: A fast-growing software approach known as vibe coding, where artificial intelligence is used to generate ...
Devplan, a Seattle startup building software to coordinate product and engineering work, is emerging from stealth with $2.5 ...