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AI-native software engineering may be closer than developers think

CIO

Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. Gen AI tools are advancing quickly, he says.

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Code analysis tool AppMap wants to become Google Maps for developers

TechCrunch

It was described by security experts as a “design failure of catastrophic proportions,” and demonstrated the potentially far-reaching consequences of shipping bad code. Boston-based AppMap , going through TechCrunch Disrupt Startup Battlefield this week, wants to stop this bad code from ever making it into production.

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Preparing for AI

O'Reilly Media - Ideas

Submit a proposal for a talk at our new virtual conference, Coding with AI: The End of Software Development as We Know It.Proposals must be submitted by March 5; the conference will take place April 24, 2025, from 11AM to 3PM EDT. That implicit context is a critical part of software development and also has to be made available to AI.

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How to build a successful agile development culture – and why your business needs one

CIO

To keep pace with the growing complexity of software development, organizations have spent years working to implement agile practices into their developer experience. It enables teams to deliver value faster, with greater quality and predictability, and greater aptitude to respond to change.

Agile 148
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The Best Product Engineering Org in the World

James Shore

Kent Beck concluded , Measure developer productivity? He says a measurement based approach generates relatively weak improvements and significant distortion of incentives. If you did this exercise with your leadership team, youd probably get different answers. We use Extreme Programming as our model of how to develop software.

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LLMs Demand Observability-Driven Development

Honeycomb

There is a much longer list of things that make software less than 100% debuggable in practice. Some of these things are related to cost/benefit tradeoffs, but most are about weak telemetry, instrumentation, and tooling. Instead, ML teams typically build evaluation systems to evaluate the effectiveness of the model or prompt.

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The Top 6 Software Development Methodologies for 2023

KitelyTech

In 2023, software development methodologies will continue to evolve as technology progresses. With the right software development methodologies, your team can be empowered to create innovative products that are both cost-effective and able to meet the demands of the market.