DeepMind’s RAG System with Animesh Chatterji and Ivan Solovyev

Retrieval-augmented generation, or RAG, has become a foundational approach to building production AI systems. However, deploying RAG in practice can be complex and costly. Developers typically have to manage vector databases, chunking strategies, embedding models, and indexing infrastructure. Designing effective RAG systems is also a moving target, as techniques and best practices evolve in step The post DeepMind’s RAG System with Animesh Chatterji and Ivan Solovyev appeared first on Software Engineering Daily.

Interactive notebooks were popularized by the Jupyter project and have since become a core tool for data science, research, and data exploration. However, traditional, imperative notebooks often break down as projects grow more complex. Hidden state, non-reproducible execution, poor version control ergonomics, and difficulty reusing notebook code in real software systems make it hard to The post Reinventing the Python Notebook with Akshay Agrawal appeared first on Software Engineering Daily.

AI agents have taken on a growing share of software development work, so much so that the hardest problems are shifting away from code generation towards something new, context. The challenge is now contextualizing why systems work the way they do, how architectural decisions were made, and the sources of truth that exist outside of The post Organizational Context for AI Coding Agents with Dennis Pilarinos appeared first on Software Engineering Daily.

SED News is a monthly podcast from Software Engineering Daily where hosts Gregor Vand and Sean Falconer unpack the biggest stories shaping software engineering, Silicon Valley, and the broader tech industry. In this episode, they cover the viral rise of OpenClaw and its founder’s move to OpenAI, OpenAI’s exploration of ads inside ChatGPT, and Alibaba’s The post SED News: OpenClaw Goes Viral, Mistral’s Compute Play, and the Agent Arms Race appeared first on Software Engineering Daily.

AI-assisted coding tools have made it easier than ever to spin up prototypes, but turning those prototypes into reliable, production-grade systems remains a major challenge. Large language models are non-deterministic, prone to drift, and often lose track of intent over long development sessions. Kiro is an AI-powered IDE that’s built around a spec-driven development workflow. The post Amazon’s IDE for Spec-Driven Development with David Yanacek appeared first on Software Engineering Daily.

Enterprise IT systems have grown into sprawling, highly distributed environments spanning cloud infrastructure, applications, data platforms, and increasingly AI-driven workloads. Observability tools have made it easier to collect metrics, logs, and traces, but understanding why systems fail and responding quickly remains a persistent challenge. As complexity continues to rise, the industry is looking beyond dashboards The post Engineering AI Systems for Autonomy and Resilience with Krishna Sai appeared first on Software Engineering Daily.

China’s Great Firewall is often spoken about but is rarely understood. It is one of the most sophisticated and opaque censorship systems on the planet, and it shapes how over a billion people interact with the global internet, influences the design of privacy and proxy tools worldwide, and continues to evolve in ways that challenge The post Inside China’s Great Firewall with Jackson Sippe appeared first on Software Engineering Daily.

LLM -powered systems continue to move steadily into production, but this process is presenting teams with challenges that traditional software practices don’t commonly encounter. Models and agents are non-deterministic systems, which makes it difficult to test changes, reason about failures, and confidently ship updates. This has created the need for new evaluation tooling designed specifically The post Optimizing Agent Behavior in Production with Gideon Mendels appeared first on Software Engineering Daily.

AI-assisted programming has moved far beyond autocomplete. Large language models are now capable of editing entire codebases, coordinating long-running tasks, and collaborating across multiple systems. As these capabilities mature, the core challenge in software development is shifting away from writing code and toward orchestrating work, managing context, and maintaining shared understanding across fleets of agents. The post Gas Town, Beads, and the Rise of Agentic Development with Steve Yegge appeared first on Software Engineering Daily.

Python 3.14 is here and continues Python’s evolution toward greater performance, scalability, and usability. The new release formally supports free-threaded, no-GIL mode, introduces template string literals, and implements deferred evaluation of type annotations. It also includes new debugging and profiling tools, along with many other features. Łukasz Langa is the CPython Developer in Residence at The post Python 3.14 with Łukasz Langa appeared first on Software Engineering Daily.