InfoQ Homepage Teamwork Content on InfoQ
-
Beyond Autonomous Teams in Software Product Development
Autonomous teams are an article of faith in modern software development. The shape of our value determines what we can do; it determines our trade-offs between agency and coherence. We all have a purpose, and we all have agency to do something, hence the suggestion is moving from product focus to value center thinking.
-
From Projects to Products: Turning Platforms into Products People Use
Having a platform is not enough; the real challenge is ensuring that it is understandable, usable, and actually adopted by its users. A capability is done when it can be reliably used by others. To evaluate progress, you can ask yourself “Is this being used?” and “Does it reduce friction for users?” This can help align development work with actual user value rather than delivery.
-
AI-Assisted Software Development: Team Profiles and Capabilities for Putting Research into Action
AI is an amplifier; strategic focus on the organizational system brings the greatest returns. DORA's 2025 research on AI in software development provides team profiles and success capabilities that can be used to put the research into practice.
-
Building and Scaling a Platform with Project-as-a-Service
When a platform started with total developer autonomy, teams felt overwhelmed and ended up solving the same problems in completely different ways. The company shifted to enablement over support, working together with teams intensively, and helping teams feel confident and capable, turning the right way into being the easiest way.
-
Scaling Social Systems in Software Organizations
Fast-scaling teams must rebuild trust and psychological safety as their social systems expand. Intentional, redundant communication across multiple formats can keep everyone aligned. Cross-team rituals, buddy systems, and rotating facilitators can reduce silos by building bridges between teams. Leaders accelerate this by modeling the vulnerability they want to see.
-
Creating Impactful Teams through Diversity Using Session 0
Diverse and empowered teams are impactful teams, Natan Žabkar Nordberg mentioned in his talk on creating impactful software teams at QCon London. A session 0 helps set expectations and ensures that everyone is approaching the team in a compatible way.
-
Learnings from Cultivating Machine Learning Engineers as a Team Manager
As an AI team manager, Vivek Gupta stays broadly informed to guide AI experts effectively and drive the team. Engineers need feedback on both technical and interpersonal skills, Gupta mentioned at Dev Summit Boston. He stresses learning time, asking for help, and cross-team collaboration. Mentorship, data handling, and human-in-the-loop validation are key to success for machine learning engineers.
-
Creating Impactful Software Teams That Continuously Improve
Culture shapes how we feel, work, and succeed, says Natan Žabkar Nordberg. People thrive in different environments—some need autonomy, others structure. Trust must be given first, not earned. Leaders should guide, not control, fostering autonomy and safety.
-
Using DORA for Sustainable Engineering Performance Improvement
DORA can help to drive sustainable change, depending on how it is used by teams and the way it is supported in a company. According to Carlo Beschi, getting good data for the DORA keys can be challenging. Teams can use DORA reports for continuous improvement by analysing the data and taking actions.
-
How to Improve Software Team Performance with Experimentation
According to Terhi Aho, experimentation is a way of thinking that guides action. By experimenting we can develop ways of working without a major change process. It can help software teams to solve problems in small steps, relieve their workload, and foster self-management.
-
Fostering High-performing Work Environments for Software Development
According to Eb Ikonne, leaders should provide a motivating challenge or mission so that the software engineering team understands what success looks like. They can provide an enabling structure for effective teamwork, address things that negatively impact team success, and reduce or remove friction. Coaching can help people discover how to work effectively together.
-
LLMs and Agents as Team Enablers
Eric Naiburg and Birgitta Böckeler published articles on the benefits and challenges of using AI as a multiplier in dev teams. We report on their insights for scenarios such as simplifying the germane cognitive load of a domain, automating code migrations, and coaching scrum masters on team facilitation. We also cover Böckeler's experiments with using LLMs to onboard onto a complex project.
-
How Tech-Enabled Networks of Software Teams Work
To maintain agility at scale, software teams can use technological and organizational solutions to reduce dependencies and work autonomously. According to Fabrice Bernhard, collaboration technology can be leveraged to create a distributed network of teams. To empower their teams, leaders can support them with a systematic problem-solving culture aimed at delivering good products to customers.
-
Increasing Productivity by Becoming a Dual-Purpose Stream Aligned and Platform Software Team
To manage their increased workload effectively and maintain quality and efficiency, a software team decided to become dual-purpose: stream-aligned and platform. They rewrote their main application to be API-first and implemented micro releases with their customer-facing products, to provide value to their end users quickly and maintain a steady flow of accomplishments for the team.
-
How Team Health Checks Help Software Teams to Deliver
In healthy software teams, people feel psychologically safe to solve problems and contribute, Brittany Woods said in her talk at QCon London. She presented how they do team health checks and the benefits that it has brought them.