Articles by Category: Industry_analysis

How Rivian drives trusted, AI-powered decisions at the speed of thought with Databricks

2026-06-10 22:53
Rivian is enhancing its electric vehicle services through a partnership with Databricks. This collaboration focuses on developing a new analytics model that emphasizes self-service and governed trust. The aim is to enable AI-powered decision-making at rapid speed, ensuring reliable and efficient operations. Stay tuned for more advancements in the EV sector! ๐Ÿš—โšก #Rivian #Databricks #AI #ElectricVehicles #Innovation

New research shows honesty about AI use at work is backfiring

2026-06-10 22:15
New research from Atlassian's Teamwork Lab reveals a surprising trend in workplace AI use. ๐Ÿค– While 94% of U.S. knowledge workers use AI and many are open about it, disclosing this can lead to negative perceptions. Those who admit to using AI are seen as 10x lazier compared to peers doing the same work. Framing AI use as team-focused helps, but the best solution is a workplace culture that celebrates AI. In such environments, the stigma nearly vanishes. #AI #WorkplaceCulture #Atlassian...
esarasohn

Observability overload is drowning engineers

2026-06-10 17:27
Engineers are facing challenges due to overwhelming observability data. ๐Ÿ“Š While increased visibility into systems is beneficial, it often leads to confusion rather than quicker solutions. The abundance of data can result in chasing false leads and wasted time. To address this, AI agents are emerging as a solution, helping to parse information efficiently and suggest remediation pathways. ๐Ÿค– Join Datadogโ€™s Vignesh Palaniappan on June 30 to explore these insights and discover how to enhance your...
Alex Wilhelm

The Anthropic leader who built Claude Code says he ditched prompting โ€” now he just writes loops.

2026-06-10 17:01
Boris Cherny, head of Claude Code at Anthropic, has shifted from prompting AI directly to "writing loops." This approach, also known as loop engineering, focuses on designing systems for coding agents to operate autonomously. Peter Steinberger and Google engineer Addy Osmani emphasize that this method transforms coding agents into long-running execution systems, enhancing their efficiency and capabilities. Loop engineering combines scheduled execution, isolated workspaces, and persistent...
Janakiram MSV

5+ reasons to use VoIP call centers in 2026 (and beyond)

2026-06-10 00:00
Businesses are increasingly adopting VoIP call centers due to their cost-efficiency and scalability. Traditional phone systems can be expensive and inflexible, while VoIP offers advanced features that enhance communication. As we look to 2026 and beyond, the shift to VoIP is set to continue as companies prioritize efficiency. ๐Ÿ“ž๐Ÿ’ป #VoIP #CallCenters #BusinessCommunication #TechTrends #CostSavings
Nathalia Velez Ryan, Jesse Sumrak, Ravleen Kaur

What Our Design Team Stopped Doing to Start Leading the System for Quality

2026-06-10 00:00
๐Ÿš€ Our design team has made significant changes to enhance our workflow and increase impact. We stopped producing every screen manually and creating extensive design specs. With AI tools, we now automate these tasks, allowing designers to focus on strategic contributions. Additionally, we've shifted from being research librarians to using AI to quickly access insights, streamlining project initiation. Lastly, by reducing non-essential meetings, we've reclaimed valuable time for deep work....
Source: Auth0 Blog
Jourdan Nyhof

What We Learned Hiring 33 Engineers in Two Weeks

2026-06-09 22:58
๐Ÿš€ Earlier this year, we needed to hire engineers quickly for a product launch. We revamped our interview process to focus on real-world skills instead of outdated methods. ๐Ÿ’ป Candidates participated in a hands-on, three-hour build session, utilizing AI tools to prototype solutions. This approach allowed us to evaluate their decision-making and collaboration skills. ๐Ÿค After coding, we engaged in discussions about design choices and real-world challenges, providing a platform for candidates to...
Janet Harrah

This AI agent startup ditched Anthropic for DeepSeek โ€” and says itโ€™s saving millions

2026-06-09 16:17
๐Ÿš€ Lindy, a no-code AI agent platform, has transitioned from Anthropic to DeepSeek, claiming significant cost savings and enhanced performance. ๐Ÿ’ฐ This shift comes amid rising inference costs that challenge sustainable AI deployment. Companies like GitHub and Uber have experienced substantial billing increases, prompting a reevaluation of AI spending. ๐Ÿ’ก The Linux Foundation is responding by launching the Tokenomics Foundation, aimed at creating standards for AI token costs. #AI #TechNews...
Paul Sawers

Fusing Security and Networking: Your Fastest Path to Profitability

2026-06-09 15:00
๐ŸŒ Fusing security and networking is essential for protecting infrastructure in today's AI-driven world. Cisco Cloud Control and LiveProtect are key innovations that simplify operations and enhance profitability for partners. ๐Ÿ”’ Cisco Cloud Control acts as a unified command center for managing networking and security, providing immediate operational simplicity. โš™๏ธ LiveProtect offers always-on defense, shielding Cisco products from vulnerabilities as they are discovered, without downtime. #Cisco...
Ryan Franks

How long before we stop reading the code?

2026-06-09 13:00
๐Ÿš€ Code reviews are facing a critical shift. Instead of focusing solely on code, experts suggest prioritizing reviews of intent, specs, and acceptance criteria. This change addresses the bottleneck caused by AI-generated code, which outpaces human review capabilities. Research shows that as code changes grow, the usefulness of comments declines. In fact, teams using AI now merge 98% more PRs, leading to longer review times. AI tools can assist in reviews, but they bring challenges like non-...
Ankit Jain

The tokenmaxxing party is over, and Revenium is mopping up

2026-06-09 10:00
The article discusses the end of the "tokenmaxxing" trend in AI, where companies competed to use the most AI tokens without clear business outcomes. As costs rise, firms are shifting from reckless token usage to stricter budget control. Revenium, an observability tool, has introduced AI Insights to help businesses recover wasted AI spending by providing actionable recommendations. This marks a significant pivot in AI management as organizations seek efficiency and optimization. ๐ŸŒ๐Ÿ“Š๐Ÿ’ก #AI...
Chris J. Preimesberger

Creating checkpoints by gaslighting a Postgres databaseโ€‹โ€‹โ€‹โ€‹โ€Œ๏ปฟโ€๏ปฟโ€‹โ€โ€‹โ€โ€Œโ€๏ปฟ๏ปฟโ€Œ๏ปฟโ€‹โ€โ€Œโ€โ€โ€Œโ€Œโ€โ€Œ๏ปฟโ€Œโ€โ€โ€Œโ€Œโ€๏ปฟโ€โ€‹โ€โ€‹โ€โ€‹๏ปฟโ€โ€โ€‹โ€โ€‹โ€โ€Œ๏ปฟโ€‹๏ปฟโ€Œโ€โ€‹โ€Œโ€Œโ€๏ปฟโ€โ€Œโ€โ€โ€Œโ€Œ๏ปฟโ€Œโ€‹โ€Œ๏ปฟโ€โ€Œโ€‹โ€๏ปฟโ€โ€Œโ€โ€โ€Œโ€Œโ€๏ปฟ๏ปฟโ€‹โ€โ€‹โ€โ€‹โ€๏ปฟโ€‹โ€‹โ€โ€‹โ€โ€Œโ€โ€โ€‹โ€Œ๏ปฟโ€‹โ€โ€Œโ€โ€Œโ€Œโ€Œโ€โ€Œโ€โ€‹โ€โ€‹โ€โ€‹๏ปฟโ€โ€โ€‹โ€โ€‹โ€โ€Œโ€โ€โ€‹โ€Œ๏ปฟโ€Œโ€‹โ€Œ๏ปฟโ€Œโ€‹โ€Œ๏ปฟโ€‹โ€‹โ€Œ๏ปฟโ€‹๏ปฟโ€‹๏ปฟโ€โ€โ€‹โ€๏ปฟ๏ปฟโ€‹โ€๏ปฟ๏ปฟโ€Œโ€โ€‹๏ปฟโ€Œโ€๏ปฟโ€Œโ€Œ๏ปฟโ€‹๏ปฟโ€‹โ€๏ปฟโ€โ€Œ๏ปฟโ€‹๏ปฟโ€Œ๏ปฟโ€Œโ€‹โ€Œโ€โ€‹โ€Œโ€Œโ€โ€‹๏ปฟโ€Œโ€โ€๏ปฟโ€Œโ€๏ปฟ๏ปฟโ€Œ๏ปฟโ€Œโ€โ€Œโ€โ€Œโ€Œโ€Œ๏ปฟโ€‹โ€โ€Œโ€โ€Œโ€โ€Œโ€๏ปฟโ€‹โ€Œโ€๏ปฟ๏ปฟโ€Œ๏ปฟโ€Œ๏ปฟโ€‹โ€๏ปฟโ€โ€Œโ€โ€‹๏ปฟโ€Œโ€๏ปฟ๏ปฟโ€‹โ€๏ปฟ๏ปฟโ€Œโ€โ€โ€Œโ€Œโ€๏ปฟโ€โ€Œ๏ปฟโ€Œโ€‹โ€Œโ€โ€Œโ€Œโ€Œโ€๏ปฟโ€โ€Œ๏ปฟโ€Œโ€‹โ€‹โ€๏ปฟ๏ปฟโ€Œโ€โ€Œโ€Œโ€Œโ€โ€Œโ€‹โ€Œโ€โ€โ€Œโ€Œ๏ปฟโ€Œโ€‹โ€‹โ€๏ปฟ๏ปฟโ€Œโ€๏ปฟโ€Œโ€Œโ€๏ปฟ๏ปฟโ€Œโ€โ€Œโ€‹โ€Œโ€โ€Œโ€Œโ€‹๏ปฟ๏ปฟโ€Œโ€Œ๏ปฟโ€‹โ€‹โ€Œ๏ปฟโ€‹โ€โ€Œโ€โ€Œโ€Œโ€Œ๏ปฟโ€‹๏ปฟโ€Œโ€โ€Œโ€Œโ€Œโ€๏ปฟโ€โ€Œ๏ปฟโ€Œโ€‹โ€Œโ€โ€‹โ€Œโ€Œ๏ปฟโ€Œโ€‹โ€Œโ€โ€โ€Œโ€Œโ€๏ปฟ๏ปฟโ€Œโ€๏ปฟโ€โ€‹๏ปฟโ€๏ปฟโ€Œโ€โ€โ€Œโ€Œโ€โ€Œโ€‹โ€‹๏ปฟ๏ปฟโ€Œโ€‹๏ปฟโ€โ€Œโ€Œโ€โ€‹๏ปฟโ€Œโ€โ€‹โ€โ€‹๏ปฟโ€‹โ€‹โ€Œโ€โ€‹๏ปฟโ€Œโ€โ€‹โ€โ€‹๏ปฟโ€‹๏ปฟโ€‹๏ปฟโ€โ€Œโ€‹โ€๏ปฟโ€Œโ€Œโ€โ€Œโ€โ€Œโ€โ€‹๏ปฟโ€Œโ€โ€‹๏ปฟโ€‹๏ปฟโ€โ€Œโ€‹โ€๏ปฟโ€Œโ€‹๏ปฟโ€Œโ€‹โ€Œโ€โ€‹โ€โ€‹๏ปฟโ€‹โ€‹โ€‹๏ปฟโ€โ€Œโ€‹โ€๏ปฟโ€Œโ€‹๏ปฟโ€โ€Œโ€‹๏ปฟโ€‹โ€โ€Œโ€โ€Œโ€Œโ€‹๏ปฟโ€Œโ€โ€‹โ€๏ปฟโ€Œโ€‹๏ปฟโ€Œโ€โ€Œโ€โ€‹โ€Œโ€‹๏ปฟโ€โ€‹โ€Œโ€โ€‹โ€Œโ€Œโ€โ€Œโ€‹โ€Œโ€โ€Œโ€Œโ€Œโ€โ€Œโ€โ€‹๏ปฟโ€โ€‹โ€Œโ€โ€Œโ€‹โ€Œโ€โ€‹๏ปฟโ€‹๏ปฟโ€‹โ€‹โ€‹๏ปฟโ€‹โ€โ€‹๏ปฟโ€๏ปฟโ€Œ๏ปฟโ€Œโ€‹โ€Œ๏ปฟโ€โ€Œโ€Œ๏ปฟโ€‹โ€‹โ€Œโ€โ€Œโ€Œโ€‹๏ปฟ๏ปฟโ€Œโ€Œโ€โ€‹โ€โ€Œโ€๏ปฟโ€‹โ€Œโ€๏ปฟ๏ปฟโ€Œโ€โ€Œ๏ปฟโ€Œโ€Œโ€‹โ€‹โ€Œโ€๏ปฟ๏ปฟโ€Œ๏ปฟโ€‹๏ปฟโ€Œ๏ปฟโ€Œโ€‹โ€‹๏ปฟโ€๏ปฟโ€Œ๏ปฟโ€‹โ€‹โ€Œโ€โ€‹โ€Œโ€Œ๏ปฟโ€Œโ€‹โ€Œโ€โ€โ€‹โ€‹๏ปฟ๏ปฟโ€Œโ€Œ๏ปฟโ€Œโ€‹โ€Œโ€โ€โ€Œโ€Œ๏ปฟโ€Œโ€‹โ€Œโ€๏ปฟโ€‹โ€Œโ€โ€Œโ€Œโ€‹๏ปฟ๏ปฟ๏ปฟโ€Œโ€โ€‹โ€โ€Œโ€โ€‹โ€Œโ€Œ๏ปฟโ€‹๏ปฟโ€Œโ€โ€Œโ€Œโ€Œโ€Œโ€Œโ€Œโ€Œ๏ปฟโ€‹โ€โ€Œโ€๏ปฟโ€‹โ€‹๏ปฟ๏ปฟโ€Œโ€Œโ€โ€โ€‹โ€Œ๏ปฟโ€Œโ€‹โ€Œ๏ปฟโ€Œโ€‹โ€Œ๏ปฟโ€‹โ€‹โ€Œ๏ปฟโ€‹๏ปฟโ€‹โ€โ€Œโ€Œโ€‹๏ปฟโ€‹๏ปฟโ€Œโ€‹โ€‹โ€Œโ€‹โ€โ€Œโ€Œโ€‹๏ปฟโ€‹โ€โ€Œโ€‹โ€Œโ€โ€‹โ€โ€Œโ€Œโ€‹๏ปฟโ€‹โ€โ€Œโ€‹โ€Œโ€โ€Œโ€โ€‹๏ปฟโ€Œโ€๏ปฟโ€Œโ€Œ๏ปฟโ€‹๏ปฟโ€‹โ€๏ปฟโ€โ€Œ๏ปฟโ€‹๏ปฟโ€Œ๏ปฟโ€Œโ€‹โ€Œโ€โ€‹โ€Œโ€Œโ€โ€‹๏ปฟโ€Œโ€โ€๏ปฟโ€Œโ€๏ปฟ๏ปฟโ€Œ๏ปฟโ€Œโ€โ€Œโ€โ€Œโ€Œโ€Œ๏ปฟโ€‹โ€โ€Œโ€โ€Œโ€โ€Œโ€๏ปฟโ€‹โ€Œโ€๏ปฟ๏ปฟโ€Œ๏ปฟโ€Œ๏ปฟโ€‹โ€๏ปฟโ€โ€Œโ€โ€‹๏ปฟโ€Œโ€๏ปฟ๏ปฟโ€‹โ€โ€Œโ€โ€Œโ€โ€โ€Œโ€Œโ€โ€Œโ€‹โ€‹๏ปฟ๏ปฟโ€Œโ€‹๏ปฟโ€โ€Œโ€Œโ€โ€‹๏ปฟโ€Œโ€โ€‹โ€โ€‹๏ปฟโ€‹โ€‹โ€Œโ€โ€‹๏ปฟโ€Œโ€โ€‹โ€โ€‹๏ปฟโ€‹๏ปฟโ€‹๏ปฟโ€โ€Œโ€‹โ€๏ปฟโ€Œโ€Œโ€โ€Œโ€โ€Œโ€โ€‹๏ปฟโ€Œโ€โ€‹๏ปฟโ€‹๏ปฟโ€โ€Œโ€‹โ€๏ปฟโ€Œโ€‹๏ปฟโ€Œโ€‹โ€Œโ€โ€‹โ€โ€‹๏ปฟโ€‹โ€‹โ€‹๏ปฟโ€โ€Œโ€‹โ€๏ปฟโ€Œโ€‹๏ปฟโ€โ€Œโ€‹๏ปฟโ€‹โ€โ€Œโ€โ€Œโ€Œโ€‹๏ปฟโ€Œโ€โ€‹โ€๏ปฟโ€Œโ€‹๏ปฟโ€Œโ€โ€Œโ€โ€‹โ€Œโ€‹๏ปฟโ€โ€‹โ€Œโ€โ€‹โ€Œโ€Œโ€โ€Œโ€‹โ€Œโ€โ€Œโ€Œโ€Œโ€โ€Œโ€โ€‹๏ปฟโ€โ€‹โ€Œโ€โ€Œโ€‹โ€Œโ€โ€‹๏ปฟโ€‹๏ปฟโ€‹โ€‹โ€‹๏ปฟโ€‹โ€โ€‹โ€โ€Œโ€โ€Œ๏ปฟโ€Œโ€‹โ€Œ๏ปฟโ€โ€Œโ€Œ๏ปฟโ€‹โ€‹โ€Œโ€โ€Œโ€Œโ€‹๏ปฟ๏ปฟโ€Œโ€Œโ€โ€‹โ€โ€Œโ€๏ปฟโ€‹โ€Œโ€๏ปฟ๏ปฟโ€Œโ€โ€Œ๏ปฟโ€Œโ€Œโ€‹โ€‹โ€Œโ€๏ปฟ๏ปฟโ€Œ๏ปฟโ€‹๏ปฟโ€Œ๏ปฟโ€Œโ€‹โ€‹โ€โ€Œโ€โ€Œ๏ปฟโ€‹โ€‹โ€Œโ€โ€‹โ€Œโ€Œ๏ปฟโ€Œโ€‹โ€Œโ€โ€โ€‹โ€‹๏ปฟ๏ปฟโ€Œโ€Œ๏ปฟโ€Œโ€‹โ€Œโ€โ€โ€Œโ€Œ๏ปฟโ€Œโ€‹โ€Œโ€๏ปฟโ€‹โ€Œโ€โ€Œโ€Œโ€‹โ€โ€Œโ€โ€Œ๏ปฟโ€‹โ€‹โ€Œโ€โ€Œโ€Œโ€Œ๏ปฟโ€‹โ€โ€Œ๏ปฟโ€‹๏ปฟโ€Œ๏ปฟโ€‹โ€‹โ€Œโ€โ€Œโ€Œโ€Œโ€โ€‹๏ปฟโ€Œ๏ปฟโ€Œโ€‹โ€Œโ€โ€โ€Œโ€Œ๏ปฟโ€Œโ€โ€Œโ€โ€Œโ€Œโ€‹๏ปฟ๏ปฟโ€Œโ€Œ๏ปฟโ€‹โ€‹โ€Œ๏ปฟโ€Œโ€Œโ€Œโ€โ€‹โ€โ€Œโ€๏ปฟโ€‹โ€Œโ€โ€โ€Œโ€Œ๏ปฟโ€‹๏ปฟโ€Œโ€โ€โ€‹โ€Œโ€โ€Œโ€Œโ€Œโ€โ€Œโ€‹โ€‹โ€โ€‹โ€โ€Œ๏ปฟ๏ปฟโ€Œ

2026-06-09 07:40
๐ŸŽ™๏ธ Join Ryan as he speaks with Bryan Clark from Databricks about the evolving role of AI agents in database management. They explore how these agents create and use databases, often neglecting infrastructure cleanup. Solutions like database branching and centralized access control can help teams adapt to this agent-driven landscape. Learn more about Databricks Lakebase, a Postgres-compatible database designed for efficiency! #DatabaseManagement #AIAgents #Databricks #TechTalk #Postgres
Phoebe Sajor

How AI is solving the memory crunch it created

2026-06-08 19:25
Memory constraints are now a major challenge for tech teams, driven by hardware limitations and rising costs. ๐Ÿ“‰ Over the past year, prices for high-bandwidth memory and DRAM have surged by 170%. This has prompted a shift from a buy-all-you-can approach to data-driven optimization strategies. AI is emerging as a solution, helping enterprises optimize workloads and reduce costs by up to 50%. ๐ŸŒ๐Ÿ’ก Learn how to transition from inefficiency to smarter IT practices. #TechTrends #AI...
Jennifer Riggins

Microsoftโ€™s pitch to enterprises: Ditch Azure Repos for GitHub, despite its rocky reliability record

2026-06-08 19:05
๐Ÿš€ Microsoft is encouraging enterprises to transition from Azure Repos to GitHub, despite recent reliability issues at GitHub. The platform has faced outages impacting critical services like CI/CD pipelines, prompting public apologies. ๐Ÿ“Š GitHub's usage has surged, processing 1.4 billion commits monthly, with AI contributing significantly. To handle this load, GitHub aims for 30 times its current capacity. ๐Ÿ”„ Microsoftโ€™s new tool, Enterprise Live Migrations (ELM), offers a smoother transition,...
Paul Sawers

What can 500 years of journalism teach developers about AI trustworthiness?โ€‹โ€‹โ€‹โ€‹โ€Œ๏ปฟโ€๏ปฟโ€‹โ€โ€‹โ€โ€Œโ€๏ปฟ๏ปฟโ€Œ๏ปฟโ€‹โ€โ€Œโ€โ€โ€Œโ€Œโ€โ€Œ๏ปฟโ€Œโ€โ€โ€Œโ€Œโ€๏ปฟโ€โ€‹โ€โ€‹โ€โ€‹๏ปฟโ€โ€โ€‹โ€โ€‹โ€โ€Œ๏ปฟโ€‹๏ปฟโ€Œโ€โ€‹โ€Œโ€Œโ€๏ปฟโ€โ€Œโ€โ€โ€Œโ€Œ๏ปฟโ€Œโ€‹โ€Œ๏ปฟโ€โ€Œโ€‹โ€๏ปฟโ€โ€Œโ€โ€โ€Œโ€Œโ€๏ปฟ๏ปฟโ€‹โ€โ€‹โ€โ€‹โ€๏ปฟโ€‹โ€‹โ€โ€‹โ€โ€Œโ€โ€โ€‹โ€Œ๏ปฟโ€‹โ€โ€Œโ€โ€Œโ€Œโ€Œโ€โ€Œโ€โ€‹โ€โ€‹โ€โ€‹๏ปฟโ€โ€โ€‹โ€โ€‹โ€โ€Œโ€โ€โ€‹โ€Œ๏ปฟโ€Œโ€‹โ€Œ๏ปฟโ€Œโ€‹โ€Œ๏ปฟโ€‹โ€‹โ€Œ๏ปฟโ€‹๏ปฟโ€‹๏ปฟโ€โ€โ€‹โ€๏ปฟ๏ปฟโ€‹โ€๏ปฟ๏ปฟโ€Œโ€โ€‹๏ปฟโ€Œโ€๏ปฟโ€Œโ€Œ๏ปฟโ€‹๏ปฟโ€‹โ€๏ปฟโ€โ€Œ๏ปฟโ€‹๏ปฟโ€Œ๏ปฟโ€Œโ€‹โ€Œโ€โ€‹โ€Œโ€Œโ€โ€‹๏ปฟโ€Œโ€โ€๏ปฟโ€Œโ€๏ปฟ๏ปฟโ€Œ๏ปฟโ€Œโ€โ€Œโ€โ€Œโ€Œโ€Œ๏ปฟโ€‹โ€โ€Œโ€โ€Œโ€โ€Œโ€๏ปฟโ€‹โ€Œโ€๏ปฟ๏ปฟโ€Œ๏ปฟโ€Œ๏ปฟโ€‹โ€๏ปฟโ€โ€Œโ€โ€‹๏ปฟโ€Œโ€๏ปฟ๏ปฟโ€‹โ€๏ปฟ๏ปฟโ€Œโ€โ€โ€Œโ€Œโ€๏ปฟโ€โ€Œ๏ปฟโ€Œโ€‹โ€Œโ€โ€Œโ€Œโ€Œโ€๏ปฟโ€โ€Œ๏ปฟโ€Œโ€‹โ€‹โ€๏ปฟ๏ปฟโ€Œโ€โ€Œโ€Œโ€Œโ€โ€Œโ€‹โ€Œโ€โ€โ€Œโ€Œ๏ปฟโ€Œโ€‹โ€‹โ€๏ปฟ๏ปฟโ€Œโ€๏ปฟโ€Œโ€Œโ€๏ปฟ๏ปฟโ€Œโ€โ€Œโ€‹โ€Œโ€โ€Œโ€Œโ€‹๏ปฟ๏ปฟโ€Œโ€Œ๏ปฟโ€‹โ€‹โ€Œ๏ปฟโ€‹โ€โ€Œโ€โ€Œโ€Œโ€Œ๏ปฟโ€‹๏ปฟโ€Œโ€โ€Œโ€Œโ€Œโ€๏ปฟโ€โ€Œ๏ปฟโ€Œโ€‹โ€Œโ€โ€‹โ€Œโ€Œ๏ปฟโ€Œโ€‹โ€Œโ€โ€โ€Œโ€Œโ€๏ปฟ๏ปฟโ€Œโ€๏ปฟโ€โ€‹๏ปฟโ€๏ปฟโ€Œโ€โ€โ€Œโ€Œโ€โ€Œโ€‹โ€‹๏ปฟ๏ปฟโ€Œโ€‹๏ปฟโ€โ€‹โ€‹๏ปฟโ€Œโ€‹โ€Œโ€โ€‹๏ปฟโ€Œโ€โ€‹๏ปฟโ€‹๏ปฟโ€Œ๏ปฟโ€‹๏ปฟโ€โ€‹โ€Œโ€โ€Œโ€โ€Œโ€โ€‹๏ปฟโ€‹โ€๏ปฟโ€Œโ€‹๏ปฟโ€Œโ€‹โ€‹๏ปฟโ€‹โ€‹โ€Œโ€โ€Œโ€โ€Œโ€โ€‹โ€โ€‹โ€๏ปฟโ€Œโ€‹๏ปฟโ€Œโ€‹โ€‹๏ปฟโ€‹โ€Œโ€‹๏ปฟโ€Œโ€โ€‹๏ปฟโ€โ€‹โ€‹โ€๏ปฟโ€Œโ€Œโ€โ€‹โ€Œโ€‹๏ปฟโ€‹โ€‹โ€‹๏ปฟโ€‹๏ปฟโ€Œโ€โ€Œโ€Œโ€‹โ€๏ปฟโ€Œโ€‹๏ปฟโ€Œโ€Œโ€Œโ€โ€‹โ€โ€‹๏ปฟโ€‹โ€‹โ€‹๏ปฟโ€โ€Œโ€‹๏ปฟโ€Œโ€‹โ€‹๏ปฟโ€‹๏ปฟโ€Œโ€โ€Œโ€โ€‹๏ปฟโ€Œโ€โ€‹๏ปฟโ€Œโ€‹โ€Œโ€โ€Œโ€‹โ€Œโ€โ€Œโ€โ€Œโ€โ€Œโ€‹โ€‹๏ปฟโ€๏ปฟโ€Œ๏ปฟโ€Œโ€‹โ€Œ๏ปฟโ€โ€Œโ€Œ๏ปฟโ€‹โ€‹โ€Œโ€โ€Œโ€Œโ€‹๏ปฟ๏ปฟโ€Œโ€Œโ€โ€‹โ€โ€Œโ€๏ปฟโ€‹โ€Œโ€๏ปฟ๏ปฟโ€Œโ€โ€Œ๏ปฟโ€Œโ€Œโ€‹โ€‹โ€Œโ€๏ปฟ๏ปฟโ€Œ๏ปฟโ€‹๏ปฟโ€Œ๏ปฟโ€Œโ€‹โ€‹๏ปฟโ€๏ปฟโ€Œ๏ปฟโ€‹โ€‹โ€Œโ€โ€‹โ€Œโ€Œ๏ปฟโ€Œโ€‹โ€Œโ€โ€โ€‹โ€‹๏ปฟ๏ปฟโ€Œโ€Œ๏ปฟโ€Œโ€‹โ€Œโ€โ€โ€Œโ€Œ๏ปฟโ€Œโ€‹โ€Œโ€๏ปฟโ€‹โ€Œโ€โ€Œโ€Œโ€‹๏ปฟ๏ปฟ๏ปฟโ€Œโ€โ€‹โ€โ€Œโ€โ€‹โ€Œโ€Œ๏ปฟโ€‹๏ปฟโ€Œโ€โ€Œโ€Œโ€Œโ€Œโ€Œโ€Œโ€Œ๏ปฟโ€‹โ€โ€Œโ€๏ปฟโ€‹โ€‹๏ปฟ๏ปฟโ€Œโ€Œโ€โ€โ€‹โ€Œ๏ปฟโ€Œโ€‹โ€Œ๏ปฟโ€Œโ€‹โ€Œ๏ปฟโ€‹โ€‹โ€Œ๏ปฟโ€‹๏ปฟโ€‹โ€โ€Œโ€Œโ€‹๏ปฟโ€‹๏ปฟโ€Œโ€‹โ€‹โ€Œโ€‹โ€โ€Œโ€Œโ€‹๏ปฟโ€‹โ€โ€Œโ€‹โ€Œโ€โ€‹โ€โ€Œโ€Œโ€‹๏ปฟโ€‹โ€โ€Œโ€‹โ€Œโ€โ€Œโ€โ€‹๏ปฟโ€Œโ€๏ปฟโ€Œโ€Œ๏ปฟโ€‹๏ปฟโ€‹โ€๏ปฟโ€โ€Œ๏ปฟโ€‹๏ปฟโ€Œ๏ปฟโ€Œโ€‹โ€Œโ€โ€‹โ€Œโ€Œโ€โ€‹๏ปฟโ€Œโ€โ€๏ปฟโ€Œโ€๏ปฟ๏ปฟโ€Œ๏ปฟโ€Œโ€โ€Œโ€โ€Œโ€Œโ€Œ๏ปฟโ€‹โ€โ€Œโ€โ€Œโ€โ€Œโ€๏ปฟโ€‹โ€Œโ€๏ปฟ๏ปฟโ€Œ๏ปฟโ€Œ๏ปฟโ€‹โ€๏ปฟโ€โ€Œโ€โ€‹๏ปฟโ€Œโ€๏ปฟ๏ปฟโ€‹โ€โ€Œโ€โ€Œโ€โ€โ€Œโ€Œโ€โ€Œโ€‹โ€‹๏ปฟ๏ปฟโ€Œโ€‹๏ปฟโ€โ€‹โ€‹๏ปฟโ€Œโ€‹โ€Œโ€โ€‹๏ปฟโ€Œโ€โ€‹๏ปฟโ€‹๏ปฟโ€Œ๏ปฟโ€‹๏ปฟโ€โ€‹โ€Œโ€โ€Œโ€โ€Œโ€โ€‹๏ปฟโ€‹โ€๏ปฟโ€Œโ€‹๏ปฟโ€Œโ€‹โ€‹๏ปฟโ€‹โ€‹โ€Œโ€โ€Œโ€โ€Œโ€โ€‹โ€โ€‹โ€๏ปฟโ€Œโ€‹๏ปฟโ€Œโ€‹โ€‹๏ปฟโ€‹โ€Œโ€‹๏ปฟโ€Œโ€โ€‹๏ปฟโ€โ€‹โ€‹โ€๏ปฟโ€Œโ€Œโ€โ€‹โ€Œโ€‹๏ปฟโ€‹โ€‹โ€‹๏ปฟโ€‹๏ปฟโ€Œโ€โ€Œโ€Œโ€‹โ€๏ปฟโ€Œโ€‹๏ปฟโ€Œโ€Œโ€Œโ€โ€‹โ€โ€‹๏ปฟโ€‹โ€‹โ€‹๏ปฟโ€โ€Œโ€‹๏ปฟโ€Œโ€‹โ€‹๏ปฟโ€‹๏ปฟโ€Œโ€โ€Œโ€โ€‹๏ปฟโ€Œโ€โ€‹๏ปฟโ€Œโ€‹โ€Œโ€โ€Œโ€‹โ€Œโ€โ€Œโ€โ€Œโ€โ€Œโ€‹โ€‹โ€โ€Œโ€โ€Œ๏ปฟโ€Œโ€‹โ€Œ๏ปฟโ€โ€Œโ€Œ๏ปฟโ€‹โ€‹โ€Œโ€โ€Œโ€Œโ€‹๏ปฟ๏ปฟโ€Œโ€Œโ€โ€‹โ€โ€Œโ€๏ปฟโ€‹โ€Œโ€๏ปฟ๏ปฟโ€Œโ€โ€Œ๏ปฟโ€Œโ€Œโ€‹โ€‹โ€Œโ€๏ปฟ๏ปฟโ€Œ๏ปฟโ€‹๏ปฟโ€Œ๏ปฟโ€Œโ€‹โ€‹โ€โ€Œโ€โ€Œ๏ปฟโ€‹โ€‹โ€Œโ€โ€‹โ€Œโ€Œ๏ปฟโ€Œโ€‹โ€Œโ€โ€โ€‹โ€‹๏ปฟ๏ปฟโ€Œโ€Œ๏ปฟโ€Œโ€‹โ€Œโ€โ€โ€Œโ€Œ๏ปฟโ€Œโ€‹โ€Œโ€๏ปฟโ€‹โ€Œโ€โ€Œโ€Œโ€‹โ€โ€Œโ€โ€Œ๏ปฟโ€‹โ€‹โ€Œโ€โ€Œโ€Œโ€Œ๏ปฟโ€‹โ€โ€Œ๏ปฟโ€‹๏ปฟโ€Œ๏ปฟโ€‹โ€‹โ€Œโ€โ€Œโ€Œโ€Œโ€โ€‹๏ปฟโ€Œ๏ปฟโ€Œโ€‹โ€Œโ€โ€โ€Œโ€Œ๏ปฟโ€Œโ€โ€Œโ€โ€Œโ€Œโ€‹๏ปฟ๏ปฟโ€Œโ€Œ๏ปฟโ€‹โ€‹โ€Œ๏ปฟโ€Œโ€Œโ€Œโ€โ€‹โ€โ€Œโ€๏ปฟโ€‹โ€Œโ€โ€โ€Œโ€Œ๏ปฟโ€‹๏ปฟโ€Œโ€โ€โ€‹โ€Œโ€โ€Œโ€Œโ€Œโ€โ€Œโ€‹โ€‹โ€โ€‹โ€โ€Œ๏ปฟ๏ปฟโ€Œ

2026-06-08 14:00
AI reliability faces challenges linked to three distinct issues: unintentional fabrication, sycophancy, and intentional deception. Simply relying on prompt engineering won't resolve these problems. Insights from 500 years of journalism can guide developers to implement better sourcing and verification methods for AI systems. Understanding these differences is key to enhancing trustworthiness in AI. ๐Ÿ“ฐ๐Ÿค–๐Ÿ” #AITrust #Journalism #TechSolutions #LLMs #Trustworthiness
Ritoban Mukherjee

The crash that vanished: control and emergence in a five-model economy

2026-06-08 13:10
In the latest article from the Build Small Hackathon, the author reflects on a unique experiment involving a fictional bank run, "Run on Oona's Hoard." The scenario illustrated how small model roles and budgets can lead to unexpected market behaviors. Initially, a surge in supply caused honey prices to plummet. However, after rebuilding the model, the crash no longer occurred, prompting insights into the complexities of agent-based systems. #EmergentBehavior #MarketDynamics #Innovation...

โ€œA dangerous combinationโ€: The 2 factors that can โ€œcorruptโ€ AI agent workflows

2026-06-08 13:00
AI agents are transforming workplace applications, but this shift poses risks for identity and access management (IAM). Traditional IAM was designed for human users, while AI agents operate in dynamic, unpredictable ways, leading to potential security concerns. If AI agents are given poorly managed static credentials, it can result in unauthorized access and operational issues. To mitigate these risks, organizations need robust monitoring of AI agent activities to ensure compliance with...
Adrian Bridgwater

DeepSeek enters the fight for token volume, Anthropic continues to dominate spend

2026-06-08 04:00
๐Ÿš€ In May 2026, AI Gateway revealed significant trends in token usage and spending. Total tokens increased by 20% month-over-month, with a 43% rise in spending. DeepSeek's token share surged from under 1% to 17%, while Anthropic's spending share grew from 61% to 65%. Customers are focusing on smarter routing between low-cost and premium models to maximize value. Low-cost models are now a key part of production, yet spending on frontier models continues to rise. This indicates a growing...
Source: Vercel Blog
Eric Dodds

The Open Source Community is backing OpenEnv for Agentic RL

2026-06-08 00:00
๐Ÿš€ Exciting developments in the AI community! OpenEnv, a tool for creating agentic execution environments, is now more open than ever. It will be coordinated by a new committee featuring major players like Meta-PyTorch, Nvidia, and Hugging Face. This initiative aims to enhance the training of agents in an open-source manner. Check out the project at huggingface/OpenEnv! ๐ŸŒ #OpenSource #AI #OpenEnv #AgenticRL #MachineLearning

Amazing Digital Dentures (a failed project)

2026-06-07 19:44
๐ŸŒŸ Exploring the journey of the "Amazing Digital Dentures" project, inspired by the animated show "The Amazing Digital Circus." The concept started as a digital pet designed to enhance productivity through gamified adventures. However, the project faced challenges when attempts to create functioning games with the AI model fell short. Initial strategies, including long prompts and skill cards, did not yield the desired results. Adjustments to the model's context window also proved ineffective....

AI teams now deploy 1,000 times a month. Your pipeline wasnโ€™t built for that.

2026-06-07 16:30
AI coding tools are showing significant results, with adoption rates rising from 76% in 2024 to 90% in 2025. ๐Ÿ“ˆ Deployment rates have surged from 357 to nearly 1,000 per month, representing a 175x improvement for high-performing teams. However, increased speed alone is not enough; direction is crucial. ๐ŸŽฏ Effective product velocity combines speed with strategic focus to enhance outcomes. Organizations must prioritize a balanced approach to thrive in this rapidly changing landscape. โš–๏ธ...
Paul Stovell

Five labs, five minds: building a multi-model finance drama on small models

2026-06-06 19:02
๐Ÿ” Discover the insights from the latest Build Small Hackathon report! The article explores the evolution of the game "Thousand Token Wood," transitioning from a passive experience to an interactive one. Players take on the role of a financier, influencing a dynamic economy with various strategies. In this version, each woodland creature operates using distinct models from different labs, adding complexity to gameplay. #GameDevelopment #Finance #EmergingEconomies #Innovation #ThousandTokenWood

โ€œWhoever builds the most joyous product winsโ€: The agent war begins

2026-06-06 15:00
At Snowflake Summit 26 in San Francisco, the focus shifted from large language models to the concept of the agentic enterprise. AI's role is evolving from writing code to orchestrating complex workflows with minimal human intervention. Christian Kleinerman, Snowflakeโ€™s EVP of Product, detailed this approach, highlighting how it simplifies the data lifecycle. Snowflake's new tools aim to enhance developer efficiency by reducing the need for multiple apps, allowing developers to focus on...
Chris J. Preimesberger

Netlify CTO Dana Lawson: Writing code is no longer the job

2026-06-06 14:00
๐Ÿš€ At AI Native DevCon, Netlify CTO Dana Lawson shared insights on the evolving role of software engineers. He emphasized that writing code is no longer the core of the job. Instead, understanding agent experience (AX) is key. As AI enables more people to create, engineers must focus on overseeing production and ensuring seamless collaboration between humans and AI. This shift brings both opportunities and uncertainties for developers as the industry rapidly changes. #TechInnovation...
Jennifer Riggins

OpenClaw used Gavriel Cohenโ€™s code and exposed the AI Agent accountability problem

2026-06-06 10:31
๐Ÿšจ Important AI Development Alert! ๐Ÿšจ OpenClaw's use of Gavriel Cohenโ€™s code highlights a significant issue of accountability in AI agents. Cohen discovered his work in OpenClaw without consent and stepped away from the project. This raises questions about code ownership and transparency in AI technologies. With AI systems gaining autonomy, the need for clear accountability is critical. Developers are now concerned about whether their code is being used without acknowledgment. Stay informed...
Matthew Burns

Thousand Token Wood: shipping a multi-agent economy on a 3B model

2026-06-05 22:18
๐Ÿš€ Exciting insights from the "Thousand Token Wood" project! This report details a tiny economy created during the Build Small Hackathon, featuring five agents trading goods. The model illustrates trading dynamics like bubbles and wealth gaps using a 3-billion-parameter system. Key takeaways include the reliability of the model as a format generator and the importance of designed scarcity in emergent systems. Check out the full report for more details! ๐ŸŒฒ๐Ÿ’ป #Economy #TechInnovation #AIModels...

How Wendyโ€™s turned everyday challenges into enterprise-wide transformation

2026-06-05 18:15
Wendy's transformed its operations by adopting Atlassian as a unified enterprise platform. Before this shift, teams operated in silos with inconsistent processes and tools. The move to Atlassian allowed for better work management, knowledge sharing, and automation without enforcing rigid structures. In under two years, Wendy's expanded its Atlassian user base from 147 to nearly 1,000, driven by effective change management and strong relationships. This growth highlights the importance of...
kdelara@atlassian.com

Why Zig Isnโ€™t 1.0 (Yet)

2026-06-05 13:49
Zig, a programming language created by Andrew Kelley, is gaining traction but has not yet released a 1.0 version. This decision stems from a focus on getting the fundamentals right rather than rushing to market. Kelley explains that the absence of a 1.0 isn't a delay; it's a deliberate choice to ensure stability without external pressures. While a 1.0 release could boost adoption, the team prioritizes long-term quality over quick milestones. ๐ŸŽฅ Watch the full interview for more insights:...
James Hilton

Voices from the field: How data strengthens livelihoods in coastal communities

2026-06-05 10:21
๐ŸŒŠ This World Ocean Day, Blue Ventures highlights the vital role of coastal communities in ocean conservation. With support from the Cisco Foundation, they work to restore fisheries and marine life in Belize, home to the second largest coral reef. ๐Ÿ  The initiative empowers local fishers to lead conservation efforts, emphasizing that environmental decisions significantly impact people's lives. #OceanConservation #CoastalCommunities #Sustainability #ClimateAction #BlueVentures
Kamryn Harty

Cursor cuts prices and adds enterprise spend controls amid โ€œtokenomicsโ€ reckoning

2026-06-04 19:36
Cursor has adjusted its pricing model in response to industry shifts, cutting costs by 20% for its Teams plan and introducing a new Premium tier for power users. This change comes as flat-rate pricing models in AI coding are being replaced by consumption-based billing. In addition, Cursor has launched a usage pool for its Composer model and enhanced spend alert features for better budget management. This aims to give organizations clearer control over AI expenses. #AICoding #TechNews...
Paul Sawers

How switching to Jira Service Management and Rovo helped Neta cut ticket escalations by 35%

2026-06-04 19:03
Neta, a software platform for energy and utilities, has successfully reduced ticket escalations by 35% by switching to Jira Service Management and Rovo. Facing challenges with escalations and siloed knowledge, they sought a solution that integrated service management, knowledge, and AI. Neta now empowers all AMS team members to handle complex tickets efficiently. With the help of AI-driven Rovo agents, customer tickets are analyzed and potential solutions are suggested quickly, enhancing...
amacaraeg@atlassian.com

Autonomous agents have met their biggest challenge yet: The database.

2026-06-04 18:53
Autonomous agents are evolving beyond chatbots, now capable of reasoning and planning. However, they face a significant challenge: databases. ๐Ÿ” Andy Pavlo from Carnegie Mellon University highlighted the complexities at the Percona Live 2026 conference. Databases require high correctness and performance, making them difficult for agents to manage effectively. โš™๏ธ Pavlo discussed two types of AI agentsโ€”tuning and coding. Tuning agents aim to optimize databases, traditionally a job for human...
Chris J. Preimesberger

Why agentic AI makes the ops platform the most important layer in the enterprise

2026-06-04 18:35
The article highlights that the main challenge for enterprise AI is not technology, but rather operations. As hybrid environments grow complex, managing various applications and infrastructures becomes difficult. Latha Vishnubhotla from HPE notes the significant time spent on maintaining systems after initial setup. The piece emphasizes the importance of the operations platform in navigating this complexity, especially with the rise of AI workloads. Read more about how HPEโ€™s GreenLake is...
TNS Staff

Why the need for humans wonโ€™t disappear in the age of autonomous databases

2026-06-04 17:18
The rise of autonomous databases is reshaping the data landscape, but human expertise remains crucial. ๐Ÿค– Vadim Tkachenko from Percona emphasizes that while automation is increasing, the role of database administrators (DBAs) is evolving rather than disappearing. They will shift from maintenance to focusing on data architecture and governance. Machine learning will take over routine tasks, allowing humans to concentrate on strategic issues like data integrity and access patterns. ๐ŸŒ This...
Chris J. Preimesberger

Mate Securityโ€™s Asaf Wiener made every backend engineer a model router. Heโ€™s right to.

2026-06-04 15:23
๐Ÿš€ Asaf Wiener, CEO of Mate Security, emphasizes the importance of managing AI model costs in startup operations. He identified high expenses early on, prompting a structural shift in how his team handles AI models. By breaking down costs, they can make informed decisions on feature pricing and performance. This approach highlights the growing significance of inference costs for AI startups, shaping their financial futures. ๐Ÿ“Š๐Ÿ’ก #AIStrategy #StartupLeadership #CostManagement #TechInnovation
Matthew Burns

Supabase Series F

2026-06-04 07:00
๐Ÿš€ Supabase has successfully raised $500M in Series F funding, achieving a $10B pre-money valuation, led by GIC. Notable investors include Stripe and Salesforce Ventures. The funding aims to accelerate open source development, support growth, and provide liquidity for employees. A key release is Multigres v0.1 alpha, a scalable system for Postgres that enhances operational simplicity. With a 600% increase in database launches over the past year, Supabase is rapidly expanding its developer...

The AI cost crisis finally has a watchdog โ€” just not the companies causing it

2026-06-03 20:10
The AI cost crisis is gaining attention as the Linux Foundation announces the launch of the Tokenomics Foundation. This body will focus on creating standards and best practices for AI token consumption economics. The foundation aims to clarify the costs associated with AI, which have rapidly outpaced traditional finance models. Major companies like Google and Microsoft are backing this initiative. As AI token usage grows, so do the expenses, with recent data showing a significant increase in...
Paul Sawers

Agentic Supplier Management with MongoDB Atlas, Voyage AI, and Multi-Modal Search

2026-06-03 19:51
Retail supply chains are evolving from back-office functions to critical business strategies. Recent challenges, like rising shipping costs, demand a shift toward resilience and AI-driven responsiveness. ๐Ÿฌ๐Ÿ”„ Retailers are modernizing supplier management with unified data platforms like MongoDB, enabling real-time decision-making and agility. This transition is essential to navigate disruptions effectively. ๐Ÿ“Š๐Ÿค– A KPMG study highlights that businesses are focusing on metrics such as recovery time...
Source: MongoDB Blog

Why CPUs still matter in the age of AI agents

2026-06-03 18:54
In the evolving landscape of AI, CPUs are gaining renewed significance alongside GPUs and TPUs. Experts Bhumik Patel from Arm and Mo Farhat from Google emphasize that as AI shifts from chatbots to autonomous agents, CPUs are crucial for orchestrating tasks and managing memory. These agents require secure environments to execute code, leading to solutions like Googleโ€™s gVisor, which isolates potentially unsafe code. This shift highlights the importance of CPUs in handling complex workloads...
Frederic Lardinois

Coding Is No Longer the Constraint: Scaling Developer Experience to Teams and Agents at Spotify

2026-06-03 15:50
At Spotify, coding is no longer the bottleneck. Niklas Gustavsson, Chief Architect, shared insights on how Spotify is enhancing developer experience through internal platforms and AI. The adoption of AI coding tools surged after the Opus 4.5 release, with over 99% of engineers using them weekly. ๐Ÿš€ This led to a 76% increase in pull request frequency. Spotify's innovative Fleet Management system has successfully automated over 2.5 million maintenance PRs, allowing developers to focus more on...
Spotify Engineering