Paradigms of the software industry

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Celebrating the 20th Lindholmen Software Development Day conference!

Lindholmen Conference Centre

Twenty years of software development have brought both disruption and stability. Some technologies have reshaped industries overnight, while others have remained steadfast. This year, we focus on the *Paradigms* — the temporary truths of the software industry.Centralised or federated solutions? Edge computing, on-premises, or cloud? Agile frameworks, empowerment or software craftsmanship?Should we follow trends or challenge them?Can we know in advance, or is experimentation the only way? Or are we at the brink of a complete transformation with generative AI?When technical choices become strategic moves, how do we navigate the landscape?We are living in extraordinary times, making it more important than ever to come together and share experiences, insights, and opportunities. Innovation is born from debate, and for 20 years, we have built a free and open arena for software developers who share a passion for creating sustainable, exciting, fun, reliable, and trustworthy code.Join us to listen, network, and shape the future of software development!

Agenda

Welcome, Opening remarks

Software is being built in a completely new paradigm: development cycles have collapsed from months to days, roles are converging, and product-market fit is a treadmill you must re-earn constantly. Users now expect constantly evolving, increasingly personalised software. In this talk, Daniel Langkilde, founder and CEO of Kognic, shares how these shifts are reshaping software development, and why building faster is now the only viable strategy. Daniel Langkilde is an experienced entrepreneur and machine learning expert. He started his career as Team Lead for Collection & Analysis at Recorded Future. Since 2018, he has been co-founder and CEO of Kognic. Kognic provides the most productive annotation platform for sensor-fusion data. Daniel earned his M.Sc. in Engineering Mathematics at Chalmers University of Technology, where he also served as President of the Student Union and a Member of the Board of Directors. He has been a Visiting Scholar at both MIT and UC Berkeley.

The floor is Lava

Ever been told “work is not a place to be happy?” It’s not true! As developers, our job is to be productive, and we’re most productive when we’re in flow, doing friction-free creation. The good news is that new technologies help us do more with less effort. (And only some of them are LLMs.) These developer tools and frameworks make us productive, and they bring joy. In this talk, Holly will present a number of productivity tips for the lazy, happy, developer. Holly Cummins is a Senior Principal Software Engineer on the IBM Quarkus team and a Java Champion. Over her career, Holly has been a full-stack javascript developer, a build architect, a client-facing consultant, a JVM performance engineer, and an innovation leader.  Holly has led projects to understand climate risks, count fish, help a blind athlete run ultra-marathons in the desert solo, and invent stories (although not at all the same time). 

Developer Joy - The New Paradigm

Q & A

Daniel Langkilde, CEO, Kognic; Anders Dyvermark, Ericsson; Sanela Ibrovic - SAAB, Automotive; Simona Bamerlind, Newminds; Helena H. Olsson, Malmö University.  

Panel on paradigms

Coffee break

Please note that the Tech track will be in the Main Hall, and the Business track in Pascal (next door)

TECH TRACK (T) OR BUSINESS TRACK (B)? It's your choice 

Over the past two decades, satellite technology has undergone a remarkable transformation—from exclusive, high-cost, application-specific missions to a new paradigm of agile, cheaper, sensor-rich constellations delivering near real-time data. 
In this talk, we will delve into the technical and operational hurdles of designing and deploying satellites and how these challenges are being met in today’s rapidly shifting ecosystem. 

T1: From Orbit to Impact: Satellite Data Enhancing Decision-Making

Digitalisation is one of the most potent and profound developments that affect industry and society. With digital technologies such as software, data, and artificial intelligence (AI), companies in the software-intensive systems domain are facing a rapid transformation of their businesses and a fundamental shift in how systems are built. The essence of digitalisation is continuous value delivery to customers and systems that improve and learn over time. Today, we build systems. Tomorrow we will grow systems. This is accomplished by continuous practices (e.g., DevOps, DataOps, MLOps), data-driven and experimental development, and effective use of AI technologies such as machine- and deep-learning (ML/DL) models.
 
This talk takes a holistic perspective when exploring how software engineering practices are in the process of changing and what the implications of these changes are. 

B1: From Building Systems to Growing Systems

Generative AI models have revolutionised how we construct software today. Smart programming environments evolved from mere IntelliSense suggestions on how to use library functions to generating code, test cases, documentation, and even requirements. The contemporary development in this field is the use of Agentic AI, where we provide generative AI models with access to programming tools, such as compilers or test frameworks. Thanks to these connections, models were able to develop software autonomously for an entire day. 

In this talk, we examine how agentic AI is constructed and explore the possibilities it brings. We examine what works and what remains an open research question. We conclude with observations on how software engineers can utilise the agentic AI in their daily work today. 

T2: Agentic AI for constructing software - what works and what doesn't

Shadow AI" - AI that is used without the employer's knowledge - creates challenges around information security and transparency. At the same time, it is the employer's responsibility to ensure competent AI use according to the EU's new requirements for AI literacy. How should company management navigate this situation, where the organisation has often fallen behind its employees in AI competence? What is required to create functioning guidelines and dialogue around AI in the workplace? Where does the real value of generative AI for companies lie?

B2: Shadow AI and the Future of Work: Security, Transparency, and Real Value

Quantum computing is no longer just a buzzword—it's a paradigm shift in the making. While these machines promise breakthroughs in science and technology, they also bring a serious challenge: breaking the cryptographic foundations we rely on today.

You may have heard of “harvest now, decrypt later”—a threat model that’s not hypothetical. The implications are long-term, and the time to start understanding them is now.

This is for curious developers, security-minded engineers, and tech leaders who want to:

Understand the real (not sci-fi) risks quantum computing poses to today’s cryptography.
Learn the basics of Post-Quantum Cryptography (PQC)—what it is and why it matters.
Begin thinking about how to prepare for future cryptographic transitions—without panic.
Quantum is coming. Let’s talk about how to get ready.

T3: Is Your Code Ready for the Post-Quantum World?

In this talk we will discuss the paradigm of central vs distributed on the Internet. As the Internet was built, the focus was on resilience and distribution, but as the economy of scale and the nature of social media has driven Internet more and more towards centralization. A counter-movement to this is the Federated services such as Nextcloud, Indieweb, Mastodon, Pixelfed, PeerTube and more. Independent, distributed services that allow collaboration, just as the centralised alternatives. Given the geopolitical challenges of today, as well as increased cyber threats, the price of constant monitoring, this will be the new way to build resilient systems.
Given the geopolitical challenges of today, which are likely to change in the months leading up to Lindholmen Software Development Day, I'm sure there is another layer to add to this talk.

B3: Central vs distributed on the internet

Lunch break

We see a paradigm shift in how software is developed: More continuous, more changes per time period, faster interaction with users. But also: Higher levels of criticality with respect to privacy, security, safety, and ethics. Thus, more and more SW systems find themselves in a dilemma: Decrease the time to market of changes and maintain explicit requirements to argue for compliance with policy, standards, and regulations. In this field of tension, there has been a trend of companies moving their requirements management to the product repository. In this talk, we will look into the experiences of such companies, look into specific (open source and commercial) tooling for this approach, and demonstrate how strong alignment of code, tests, and requirements within a product repository (e.g. within git) as well as deep traceability to artefacts and activities can be achieved and used to argue for compliance and keeping requirements relevant and under control.

T4: The Product-Repository Integrated Requirements Management Paradigm

Do your developers want to throw the existing code in a dumpster, light it on fire and start again from scratch?

It might sound tempting, but for several reasons that I will discuss in this talk, rewrites seldom succeed and instead leave you with a lot of time and money invested in learning a few lessons.
 
There is a proven technique for incrementally modernising legacy systems called the Strangler Fig pattern. In this talk, I will explain the general procedure on a high level, as well as how it ties into other techniques and ideas, such as Team Topologies, Conway's Law, and Domain-Driven Design.

B4: Modernising legacy software systems with the Strangler fig pattern

It is well accepted that system complexity growth and associated requirements and constraints lead to a comprehension threshold, which is a fundamental limiting factor in our ability to work creatively and effectively. In this scenario, engineers still need to manage and aggregate a large volume of complex and dispersed knowledge dependencies as part of their daily work. To mitigate this, new methods will be at the foundation of a new generation of autonomous engineering practices, transforming how we work within the R&D organisation. Identifying connections between specifications, systems design documents, test specifications, and code is one of the main challenges to a more streamlined design process. At Ericsson, we are creating customised AI tools and solutions to facilitate the end-to-end information synthesis process, which will considerably reduce the total effort spent understanding and implementing system features.

T5: AI-based System Comprehension for R&D

The emergence of AI tools and assistants is a tremendous opportunity for knowledge workers in most, if not all, industries. It is also a substantial risk to our jobs.
Depending on whether we view AI primarily as an opportunity or as a risk, we will get completely different results using it. If we're risk-driven, we will look for ways the AI is not as good as us, yet, saying things like "yes, it drew up a decent quality process, but step 4 was not in line with current ISO standards. We can't trust AI!". It's an individual challenge. However, it also presents an organisational challenge, as it's easy to imagine being afraid for your job when an AI-consulting firm comes in and wants to "decrease development lead times". Good luck, AI company, getting the employees to cooperate!
The good news is that, both on an individual and organisational level, there are things that we can do to increase an opportunity mindset in ourselves and our employees.

B5: How to deal with resistance towards AI

With AI writing larger parts of our codebases, what's left for us humans? How do we delegate work to AI while safeguarding the careful judgment, thoughtful UX, simplicity and reliability that make for good software?
By considering different perspectives: at times sober, at times optimistic, but humanistic throughout, we can navigate the new forms of software development that are suddenly possible. 

T6: Vibe-coding or software craftsmanship?

Artificial intelligence is disrupting the foundational business model of the web: search. Google’s shift toward AI overviews and zero-click searches has eroded the value exchange with content creators—where once two pages scraped by Google yielded one visitor, now it takes six – and the pace accelerates rapidly. Companies like OpenAI and Anthropic accelerate the decline by scraping massive amounts of content without generating proportional traffic or revenue for creators. Without a sustainable model that compensates content producers, the creation of original material will collapse, undermining the web’s viability. Without incentives to produce original content, what will happen to the web? News outlets are already struggling to survive, and this development may accelerate the decline, which in turn may threaten the democratic system as we know it today. 

B6: AI is killing the web

Kostas Stylidis is CEO & Co-founder of Intended Future and a researcher focused on AI agents for advanced engineering and design. He leads the development of agentic systems—such as AgentQ—that operationalise design intent, translating perceived-quality theory and customer signals into tools that evaluate appearance, geometry, lighting, materials, and more. Previously, he was a researcher at Chalmers University of Technology and led Design & Consumer Research at Geely Design Global, partnering with product and design leaders on data-informed workflows. He holds a PhD in Mechanical Engineering and has published extensively on perceived quality and data-informed design. His talk makes a pragmatic case for scientifically valid frameworks in agent building: clear definitions, measurable attributes, ground-truth datasets, and evaluation protocols that keep humans in the loop—so agents move from cool demos to dependable everyday collaborators.

T7: From Plato to Prompts: Frameworks, Clean Data & Dialogues for Conversation

In a rapidly evolving world, Saab's priorities are clear: deliver on customer commitments, accelerate future capabilities, and transform the way we work to sustain our mission of keeping people and society safe. Disruptive market conditions, shaped by geopolitics, economic factors, and emerging technologies, demand a fundamental shift in our approach to thinking, operating, and innovating. Software, data, and AI are pivotal in this transformation.
This presentation provides an overview of the macro trends driving the need for transformation and explores how Saab is adopting a software-defined approach to developing defence capabilities, with a focus on interoperability, information superiority, adaptability, and availability as key success factors.

B7: Transformation of Software Development in the Defence Industry

Main Track in the Main Hall

With lots of energy, some distance and a strong presence on stage, Niclas will take us through the state-of-the-nation of today's software industry. 
What is the current state? Why is that important? What will hit us tomorrow? And in what way will that imply my daily work as a developer or manager tomorrow?
This session will help you put other keynotes of LSDD 2025 in context and relevance for you.

#DevSecGeoOps - insights that make you C_sharp?

Over the past 20 years, software development has undergone transformative shifts—changing not only how we build and deploy software, but also how we regulate it, consume it, and integrate it into our daily lives. Looking ahead, the pace of transformation will only accelerate. In this session, I will reflect on the paradigms that have shaped and continue to shape our industry:
o        From long release cycles to continuous deployment
o        From global systems challenged by local regulations
o        From expectations of availability of both systems and people
o        To the growing complexity of connected ecosystems
By looking back, we can better understand the forces driving us forward, why the next decade may be the most transformative yet, and how these paradigms continue to define our existing reality for all of us who work with software development.

Reflecting on Paradigms that shaped our industry

Beyond Classical: Why Quantum Computing Matters for Developers 

Closing remarks

End of Lindholmen Software Development Day 2025

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Paradigms of the software industry

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