Gartner predicts that by the end of 2026, 20% of organizations will use AI to flatten their structures and eliminate more than half of current middle management positions, with engineering managers no…
Engineering managers now need hands-on building experience to lead effectively, and the ability to spot AI-generated slop has become the critical review skill, according to LeadDev. The old speed-vs-q…
AI-powered development teams are shipping more code but delivering less business value, according to a LeadDev analysis warning that metrics like tokens, lines of code, and pull requests measure activ…
Engineering managers are returning to hands-on coding, with the share of their time spent on technical work jumping from 20% in 2025 to 35% in 2026, according to LeadDev's Engineering Leadership Repor…
A new LeadDev survey finds that 81% of engineering teams give AI-coding agents write access to code repositories, while only 7% keep them read-only, and nearly a quarter reuse human credentials for ag…
A July 2026 LeadDev analysis of 25,264 agent-generated pull requests across 2,361 popular GitHub repositories found that in 79 percent of agentic PRs the same developer both reviewed and modified the …
Software engineering knowledge decay is structural, with fast cycles and churn stripping context even from teams that try to document, according to a LeadDev analysis. Most code work is upkeep—only 15…
Engineering manager roles have shifted from pure coordination to a 'player-coach' model, with 37% of leaders now deeply hands-on, according to a LeadDev article. AI tools enable managers to quickly re…
Influential leadership — the ability to move people and work forward without formal authority — is emerging as the key skill for engineering leaders as hierarchies flatten and AI enables more autonomo…
Engineering managers are facing a tradeoff problem, not a workload problem, as expectations to move teams faster with AI, stay close to technical decisions, coach through ambiguity, and operate more s…
Engineer Tejas Chopra founded Headroom Labs after a $287 debugging session revealed that most data sent to large language models is unnecessary. His open-source tool Headroom optimizes token usage by …
A new report from engineering platform Flux reveals that 35% of engineering teams using AI to write code refuse to ship it due to lack of confidence in assessing risk. The bottleneck has shifted from …
AI coding tools are causing engineers to work longer hours and experience burnout, with nearly half feeling emotionally drained weekly, according to LeadDev's 2026 report. The addictive nature of AI c…
Linear standardized on AI-coding agents within a week, achieving 30% more pull requests and 33% more issues closed. The company cut token usage by 40% through context engineering and now writes more R…
Observability teams must shift from traditional metrics like uptime and MTTR to measuring business outcomes, as complex AI-driven systems make degraded experiences more costly than outages. A roundtab…