Software Engineering Radio

Software Engineering Radio thumbnail

An interview based podcast, each episode has a full transcription on the official site with related references.

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Showing 1-10 of 23

Dave Airlie on Linux Kernel Maintenance thumbnail

Dave Airlie on Linux Kernel Maintenance

3 Jun 2026

The Linux kernel, the largest global software project, uses a hierarchical maintainer system with 80,150 contributors managing subsystems like DRM through public review, structured development cycles, and evolving practices to address scalability, quality, and integration challenges.

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Dwayne McDaniel on the Engineering Challenges of Secrets Management thumbnail

Dwayne McDaniel on the Engineering Challenges of Secrets Management

27 May 2026

Managing secrets like credentials and API keys in software development risks leaks causing supply chain attacks (e.g., PyPy, Clot, Cisco) due to secrets sprawl, plaintext storage, and misuse, prompting solutions like time-bound credentials, decentralized systems, vault tools (e.g., HashiCorp Vault), and strategies such as credential rotation and encrypted storage amid over 28.65 million hard-coded secrets in GitHub in 2025.

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Rob Moffat on Risk-First Software Development thumbnail

Rob Moffat on Risk-First Software Development

20 May 2026

Recommended: Risk identification and management is a forgotten art

Software development prioritizes risk management through frameworks like test-driven development and agile, addressing hidden risks, AI deployment challenges, open-source dependencies, and organizational prioritization to balance innovation with safeguards.

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SE Radio 720: Martin Dilger on Understanding Eventsourcing thumbnail

SE Radio 720: Martin Dilger on Understanding Eventsourcing

13 May 2026

Recommended: Useful Architectural Pattern.

Event sourcing is a system design approach that records changes as sequential events to ensure historical traceability, uses event modeling for aligning systems with human workflows, contrasts with CRUD architectures, and emphasizes slice-based design, event streams, and practical applications like legacy modernization and workflow simplification.

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Birol Yildiz on Building an Agentic AI SRE thumbnail

Birol Yildiz on Building an Agentic AI SRE

6 May 2026

AI agents in SRE leverage autonomous decision-making, agentic search, and lightweight architectures to replace static runbooks, balancing autonomy with reliability challenges, context management, and human oversight in dynamic environments.

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Will Sentance on JS Modernization thumbnail

Will Sentance on JS Modernization

29 Apr 2026

JavaScript's evolution from a 1995 scripting language to a performance-optimized modern tool balances innovation with backward compatibility through TC39's incremental updates, browser advancements, community-driven libraries, key features like async/await and symbols, engine optimizations, and a design philosophy prioritizing flexibility and user-driven standardization for large-scale frameworks.

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Eric Tschetter on Decoupling Observability thumbnail

Eric Tschetter on Decoupling Observability

23 Apr 2026

Recommended: Telemetry is important, avoiding vendor lockin is even more important.

Observability in microservices emphasizes decoupled architectures over traditional frameworks to address vendor lock-in, data interoperability, and scalability challenges, while balancing unstructured telemetry management, query language standardization, and cross-team collaboration.

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Martin Kleppmann Local-First Software thumbnail

Martin Kleppmann Local-First Software

15 Apr 2026

Local First Software combines local data storage with cloud collaboration to enable offline access, real-time editing, and seamless syncing via AutoMerge and CRDTs, prioritizing user control, privacy, and decentralized workflows with future focus on open standards and AI integration.

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Sahaj Garg on Designing for Ambiguity in Human Input thumbnail

Sahaj Garg on Designing for Ambiguity in Human Input

8 Apr 2026

Ambiguity in language and speech, arising from context, phrasing, and incomplete information, poses challenges for AI systems due to their limited context processing, while humans resolve it through contextual cues, tone, and prior knowledge, with strategies focusing on contextual prompts, audio training, data augmentation, and balancing AI efficiency with human-like adaptability in multilingual and ethical contexts.

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Showing 1-10 of 23