The leading site for software developers and development managers, offering news, analysis, podcasts, and live webinars on a range of topics.
- Tweets 89,512
- Following 6,555
- Followers 22,946
- Likes 633
There is an AI confidence gap between leaders who have a lot or complete trust in AI testing its own code, and the developers who see things differently. @smartbear
buff.ly/H3BoZFa
161
While quantum hardware keeps evolving, quantum software has gone much further than many realize. @classsiq
buff.ly/rzlnzqd
170
This gives users more model choice to which to delegate their work, and according to Microsoft’s announcement, GPT-6 Astra will enable users to delegate larger tasks, while the users can review the work and make decisions that can move work forward.
buff.ly/FriUPAf
293
For years, AI on the mainframe was often experimental. Companies now view AI as an operational tool. However, they want AI to provide insight and advice, but they are not ready to give it full control. @BMC
buff.ly/UIBWJ62
176
Wrapping a REST API as a Model Context Protocol server takes about 20 minutes. Wrapping it so that an agent uses it correctly takes considerably longer, and the difference is almost entirely in decisions that do not look like code decisions. @melissa
sdtimes.com/sdt_dev/building…
1
266
Platform Engineering 2.0 extends the self-service, paved-road model of traditional platform engineering to support autonomous AI agents alongside human developers.
sdtimes.com/why-platform-eng…
194
One of the big complaints engineers working with AI have is that it has no memory, so users basically have to start from scratch every day. It was Groundhog Day for engineering. @Anthropic
buff.ly/OYwcJXB
231
Modern distributed systems break the old rules of API testing, and static mocks simply can't keep up with today's complexity. Join us to see how service virtualization gives engineering and QA teams the ability they need to test with confidence.@Parasoft
buff.ly/CfPrypd
216
Maestro Flow closes that gap. Builders can use the coding agents they already rely on—including Claude Code, Cursor, GitHub Copilot, and Codex—to design, run, observe, and govern complete business processes as a single artifact @UiPath
sdtimes.com/agentic-ai/uipat…
254
From a new @Linear report on who's using AI: "The suggestion that everyone in an organization is becoming a ‘builder’ seems to be directionally true Those gains haven’t shown up as time saved, though."
sdtimes.com/ai-adoption/new-…
2
170
Many teams rush to use AI because they fear falling behind others. But in their hurry, they often ignore the basics. The report says that data quality is the biggest barrier. @SolarWinds
buff.ly/SaYnJJL
1
221
Cortex AI Gateway with dynamic model. routing can automatically select the specific model with the optimal balance of quality and cost for the task at hand. @snowflake
buff.ly/h8IuoKS
218
The software industry has reached a quiet consensus on flaky tests: find them, fix them and move on.
I believe that consensus is fundamentally wrong.
buff.ly/Ud5m9c5
1
260
With the state of AI and the amount of newly generated and untrusted code being executed, customers want a high trust model. They want better isolation. They don’t want things running side by side that are potentially adversarial.
@aws
buff.ly/H7849cm
243
It isn’t a traffic story, it’s a design story, and the problem is not that the new reader is a machine. The problem is that this machine shows up with amnesia and then improvises.
buff.ly/bUU1idD
Your Next User is an Agent, Not a Person
312
Agentic Change Management is a control layer that enables teams to govern, understand, and ship software created by people and agents.
@coderabblit
buff.ly/MKOYvp8
185
Quantum computing is a technology that could radically change the world. It’s also one that, despite decades of development, has so far failed to achieve anything resembling radical real-world change.
buff.ly/Mtf3jIg
182
AI engineering builds on established software engineering principles, but it also introduces new challenges. This article provides practical guidance for software engineering leaders to safely and successfully scale AI initiatives in their organization.
buff.ly/HRgU4Bt
188
The question is no longer whether AI can generate an integration, but whether it can help teams consistently deliver production-ready integrations. @SnapLogic
buff.ly/uBGph5l
SnapLogic Introduces the New SnapGPT, the Agentic Assistant for the Integration Lifecycle
130