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▲ 2 r/dev+1 crossposts

IBM thinks AI can help avoid knowledge decay in software engineering - if teams build deliberate habits around it.

Software engineering knowledge decay is structural. Fast cycles and churn strip context, even from teams that try to document. Most code work is upkeep: only 15-20% is new, the rest is modernization and maintenance.

AI’s real value is in capturing the reasoning behind code, not just the code itself.

leaddev.com
u/OfficialLeadDev — 22 days ago
▲ 0 r/EngineeringManagers+1 crossposts

Killing a project is every engineering leader’s hardest call

Most engineering leaders have learned to advocate, tenaciously, for the projects their teams work on. They tightly couple their team’s success to the success of every project they ship. That instinct is right, but only to a point. Left unchecked, it becomes a trap.

Their job is to be the strongest advocates of our teams. Not of projects. It took the loss of a project defended for years to teach one leader the difference.

https://leaddev.com/leadership/killing-a-project-is-every-engineering-leaders-hardest-call

u/OfficialLeadDev — 2 months ago
▲ 2 r/EngineeringManagers+5 crossposts

How to stay technical as an engineering manager

Technical proficiency is no longer optional for engineering managers. It gives you credibility, protects your team’s focus time, and enables sound decisions without pulling engineers away from their work.

Staying technical requires deliberate investment.

You don’t need to be the best coder in the room: the goal is to understand what your team is building, why decisions were made, and what’s at stake – not to out-code your engineers.

You can read the full article on LeadDev: https://leaddev.com/career-development/how-to-stay-technical-as-an-engineering-manager

u/OfficialLeadDev — 24 days ago
▲ 0 r/AI_Agents

Spent two years deploying AI agents to investigate production incidents across team boundaries. The technical part was easy. The politics nearly killed it.

At 3 am, when a production incident is cascading and everyone is on the call, the easiest thing to do is blame the network team. The hardest thing to do is prove it wasn’t them.

AI diagnostic agents are changing that dynamic: they can now investigate cross-domain incidents autonomously, pull evidence from across your infrastructure, and surface findings that implicate specific teams – whether those teams like it or not.

reddit.com
u/OfficialLeadDev — 2 months ago
▲ 42 r/AI_Coders+6 crossposts

The "AI is killing engineering jobs" narrative is noise. Here's what's actually happening to the talent market

Every week brings another AI layoff headline, but nearly half of companies report AI-driven job creation. FDE postings grew 8.5x in a year. The U.S. Bureau of Labor Statistics projects 300,000 net new software developer jobs by 2033.

The real story isn't replacement. It's redistribution.

Same headcount. Different role mix. Faster cycle times. New roles — eval engineers, AI integration architects, forward deployed engineers — are emerging faster than old ones disappear.

"AI doesn't eliminate seats one-for-one. It shifts where the leverage sits."

If you're making hiring or career decisions based on the layoff narrative alone, you're working from bad data.

https://leaddev.com/ai/the-ai-talent-story-everyone-is-missing

u/OfficialLeadDev — 2 months ago