The New Knowledge Artifacts of the AI Economy
O’Reilly Media — Every technology revolution creates new valuable knowledge artifacts that are worth sharing.
Developer Productivity
Developer productivity measures the impact of artificial intelligence tools on software engineering workflows and output. Truncated covers coding assistants, automated testing, workflow integration, efficiency metrics and developer adoption trends.
I vibe-coded a Windows app with ChatGPT. Getting it to work was another story
PCWorld — I tried to vibe-code a local voice transcription app with ChatGPT to replace my Otter subscription. It was easy, but here's what it cost me.
Tech Jobs Aren’t Disappearing — The Roles In Demand Are Changing
Lessons learned: Common engineering pitfalls to avoid in the age of AI
CIO — AI can speed up platform modernization, but how do you keep quality high and customers happy while everything changes? Here's what one engineering leader learned.
‘Organizations need to help developers grow alongside the technology’: Dejected devs lament career prospects amid AI advances
IT Pro — A new survey has found that AI is fundamentally changing the developer role and many are getting anxious
How CIOs can retain control as AI writes more code
CIO — AI coding tools can do many tasks traditionally fulfilled by skilled developers. But agents can’t be left to work alone. Digital leaders must establish policies and guidelines for AI-enabled development.
A quarter of security vulnerabilities are never fully fixed – and AI is compounding the problem
IT Pro — A new study warns against delegating flaw fixes to AI when human staff are still struggling to understand what's wrong
Goldman Benches Its Vibe Coders While BNY Lets Everyone Build
PYMNTS.com — Goldman Sachs has restricted Anthropic’s Claude Code and Microsoft’s GitHub coding tools largely to engineers and quantitative specialists, PYMNTS
Surge of coding agents reveal humans' changing role
The Deep View — Building software looks completely different than it did a year ago, and the implications are becoming clear. In GitHub's 15th annual Octoverse report unveiled...
The Engineering Behind An AI-Native Software Development Life Cycle
Forbes — How much implementation authority can developers delegate to AI without handing over engineering judgment with it?
Stop counting tokens, start counting what ships
MIT Technology Review — Why rationing agentic coding backfires, and what to measure instead.
Anthropic's internal AI use is now worth more than employee pay, at the prices it charges customers
Business Insider — Anthropic's IPO filing reveals a striking milestone: Its internal AI usage is now valued above employee compensation.
Why are good developers so wary of agentic development?
martinfowler.com — Good developers’ caution about agentic development comes from knowing that built isn’t the same as working in production.
Engineers are shipping faster, so we made our CI self-driving to keep up
posthog.com — PostHog ships code at a rapid pace, and that pace has only accelerated in recent months due to LLM adoption. We went from merging 1,354 PRs in October…
‘Our most prolific engineers have demonstrated that neither the developer role nor their output is defined by the use of AI’: Amazon tells software engineers that not every task needs AI as token consumption surges
IT Pro — The tech giant wants staff to stop tokenmaxxing and start using AI when it's sensible
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