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This year, we’ve seen a real-time experiment playing out across the technology industry, one in which AI’s software engineering capabilities have been put to the test against human technologists. And although 2025 may have started with AI looking strong, the transition from vibe coding to what’s being termed context engineering shows that while the work of human developers is evolving, they nevertheless remain absolutely critical.

This is captured in the latest volume of the “Thoughtworks Technology Radar,” a report on the technologies used by our teams on projects with clients. In it, we see the emergence of techniques and tooling designed to help teams better tackle the problem of managing context when working with LLMs and AI agents. 

Taken together, there’s a clear signal of the direction of travel in software engineering and even AI more broadly. After years of the industry assuming progress

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Physicists have uncovered how direct atom-atom interactions can amplify superradiance, the collective burst of light from atoms working in sync. By incorporating quantum entanglement into their models, they reveal that these interactions can enhance energy transfer efficiency, offering new design principles for quantum batteries, sensors, and communication systems.

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Cambridge researchers have engineered a solar-powered “artificial leaf” that mimics photosynthesis to make valuable chemicals sustainably. Their biohybrid device combines organic semiconductors and enzymes to convert CO₂ and sunlight into formate with high efficiency. It’s durable, non-toxic, and runs without fossil fuels—paving the way for a greener chemical industry.

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