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LLMs Demand Observability-Driven Development

Honeycomb

Our industry is in the early days of an explosion in software using LLMs, as well as (separately, but relatedly) a revolution in how engineers write and run code, thanks to generative AI. In theory , all software is debuggable. There is a much longer list of things that make software less than 100% debuggable in practice.

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Astro emerges from stealth to connect Latin American developers with US tech companies

TechCrunch

Astro , a startup helping companies to build and manage developer teams with talent from Latin America, today exited from stealth with $13 million in Series A funding contributed by Greycroft with participation by Obvious Ventures and other unnamed investors. million by 2030. based tech companies.

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Insights from your JIRA data to help improve your team

Xebia

Many teams are using Atlassian’s JIRA as an issue tracker, which then becomes a valuable source of information for their daily operations. As a team leader utilizing JIRA, you probably have employed JIRA dashboards to monitor the status of work, usually in context of a (release) planning. “won’t fix”).

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This week in AI: Amazon ‘enhances’ reviews with AI while Snap’s goes rogue

TechCrunch

This week in AI, Amazon announced that it’ll begin tapping generative AI to “enhance” product reviews. Once it rolls out, the feature will provide a short paragraph of text on the product detail page that highlights the product capabilities and customer sentiment mentioned across the reviews. Could AI summarize those?

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8 data strategy mistakes to avoid

CIO

The proper use of unstructured data will become of increasing importance to IT leaders,” says Kevin Miller, CTO of enterprise software developer IFS. “It Decentralizing data teams Similar to creating silos, decentralizing data teams can create problems for organizations and diminish value. “An

Strategy 340
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Draft.dev CEO Karl Hughes on the importance of using experts in developer marketing

TechCrunch

Developers can be a tough crowd. Coming up with relevant content that developers find interesting takes specific know-how, and this is where Draft.dev comes in. One of the survey respondents noted that developers are underrated as a target audience: It may be niche, but it is a large one. What inspired you to create Draft.dev?

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LLMs Demand Observability-Driven Development

Honeycomb

Our industry is in the early days of an explosion in software using LLMs, as well as (separately, but relatedly) a revolution in how engineers write and run code, thanks to generative AI. In theory , all software is debuggable. There is a much longer list of things that make software less than 100% debuggable in practice.