LawrenceHecht – Lawrence Hecht

June 23, 2025July 17, 2025Snippet of The New Stack article

AI and Tech Jobs: More Evidence That Panic Isn’t Justified

AI-specific jobs are on the upswing, according to a new survey of tech talent by the Linux Foundation.

June 20, 2025July 17, 2025Snippet of The New Stack article, The New Stack

Survey: ArgoCD Leaves Flux (And Other GitOps Platforms) Behind

In the arena of GitOps, which is becoming the de facto approach to launching new applications into a cloud native ecosystem, ArgoCD is looking to be the platform of choice. Continuous deployment services provider Octopus Deploy conducted a global survey of 660 IT professionals from […]

May 8, 2025May 9, 2025Snippet of The New Stack article

AI-Generated Code Usually Needs Refactoring

Claude, Supermaven and Cursor users are much more likely to say they had a positive experience than users of other AI-based developer tools. Users of Google Gemini, JetBrains AI and Meta’s Llama are much less likely to report having a positive experience with those technologies. […]

March 31, 2025May 9, 2025Snippet of The New Stack article

Observability Is Most Cited Challenge for ML and LLM Adoption

Observability and monitoring is the most cited challenge when moving ML models into production. The Institute for Ethical AI & Machine Learning conducted a survey on the state of production ML in the fourth quarter of 2024. The other key takeaway is that custom-built tools […]

March 18, 2025April 24, 2025Snippet of The New Stack article

Cloud Sustainability, Repatriation and Cost Optimization: Updated Stats

“The State of the Cloud Report” has been published for 13 straight years. I’ve read so many of these reports that I’ve seen private cloud usage surge several times amid the broader trend toward multicloud adoption. The latest edition by Flexera provides new data about […]

January 24, 2025April 24, 2025Snippet of The New Stack article

AI Models Deployed in the Cloud Increases, Per Data Science Study

Ignore the anecdotal stories you’re hearing about AI workloads driving a migration from the cloud to on-premises and private cloud environments. In 2024, only 27% of professional respondents in Anaconda’s latest “State of Data Science” report deploy most of their models to on-premises servers, which […]

dev productivity or experience is regularly assessed at least-quarterly at 53%of companies that track these metrics

January 10, 2025February 14, 2025Snippet of The New Stack article

Developer Productivity: Who’s Tracking It? Not Many

Only 35% of these engineers responsible for developer productivity and/or experience actually follow and stay informed of the latest trends and discussions related to developer experience and developer productivity.

January 7, 2025February 14, 2025Snippet of The New Stack article

What’s Ahead for AI-Assisted Coding, Open Source and More

AI-assisted development will challenge developers as they review the quality of the code generated and integrate tools into their workflows. There is concern that 1) an increase in AI-generated code actually increases developers’ workload because it requires manual review, and 2) inexperienced developers won’t be able to identify when AI spits out bad code.

Standardizing infrastructure and improving devex are top platform engineering team tasks

December 31, 2024February 14, 2025Snippet of The New Stack article

What 2024’s Data Told Us About How Developers Work Now

Time savings and increased productivity, not code quality, are why developers are using AI. 85% of developers who regularly use an AI tool for coding and other development-related activities say these tools help them perform their job faster. Only 23% say these tools actually improve the quality of the code and solutions being created.