Bookmarks
- debug 2025-12-04 21:28:31
The "Agents Anonymous" meetup, hosted by Josh Cohenzadeh in San Francisco on January 13, 2026, focuses on developers sharing practical experiences with agentic coding tools like Claude Code and Codex. This event aims to foster open discussion and provide insights into the effectiveness, limitations, and transformative impact of these tools on software development workflows.
The meetup's structure, featuring short talks and open discussions, is designed to encourage the exchange of concrete experiences related to agentic coding, such as using agents to accelerate testing or encountering limitations when refactoring large codebases; the goal is to enable professional developers to openly discuss and collectively understand how agentic coding is reshaping their daily work, with a schedule including arrival, talks, and wrap-up discussion. The event requires registration and approval by the host, emphasizing a curated environment for focused and practical knowledge sharing among developers actively experimenting with and integrating AI agents into their coding practices.
- debug 2025-12-04 19:59:31
The article introduces a "super-flat AST" representation for the
simpprogramming language, achieving significant performance and memory usage improvements over traditional tree-based ASTs by leveraging contiguous memory allocation and compact node representations. This optimization has substantial implications for compiler design, suggesting that carefully engineered data structures can dramatically reduce memory footprint and improve parsing speed, especially when dealing with large codebases.The author explores several AST optimization techniques, starting with string interning to reduce memory usage by sharing identical strings, followed by flat ASTs using pointer compression to store nodes in contiguous arrays, and then bump allocation to amortize allocation costs. The "super-flat AST" takes this further by packing node metadata and child indices into a compact 8-byte structure, using macros for code generation, and employing unsafe Rust to bypass lifetime limitations. Benchmarks demonstrate that the super-flat AST achieves a 3x reduction in memory usage and a corresponding increase in parsing speed compared to traditional tree representations, highlighting the effectiveness of contiguous memory layouts and compact data structures in compiler performance.
- debug 2025-11-26 19:59:18
Kaneo is a minimalist, self-hosted project management tool designed to streamline team collaboration by eliminating unnecessary features and distractions. By prioritizing essential functionalities and integrations, Kaneo aims to enhance team productivity and focus, offering a privacy-first, self-hosted solution that avoids vendor lock-in.
Kaneo addresses the common problem of bloated project management tools that hinder productivity by offering a streamlined alternative with features like Kanban and list views, GitHub integration, labels, priorities, and due dates. The platform emphasizes a "less is more" approach, focusing on essential functionalities and minimizing distractions through minimal analytics, no tracking, and granular access controls; Kaneo is designed for self-hosting with one-click Docker deploys and backups, ensuring users maintain control over their data and avoid vendor lock-in.
- debug 2025-11-26 18:18:08
The Go proposal introduces new metrics in the
runtime/metricspackage to provide insights into goroutine scheduling, including the total number of goroutines, their states (running, runnable, waiting, not-in-go), and the number of active threads. These metrics will enable developers and observability systems to more effectively identify and address performance bottlenecks, lock contention, and scheduler issues in Go applications, leading to improved application performance and stability.The
runtime/metricspackage will be enhanced with counters for goroutine states and thread counts, which can be tracked to spot regressions and scheduler bottlenecks; specifically, the new metrics include/sched/goroutines-created:goroutinesfor total goroutines,/sched/goroutines/not-in-go:goroutinesfor goroutines in syscalls or cgo,/sched/goroutines/runnable:goroutinesfor goroutines ready to execute,/sched/goroutines/running:goroutinesfor goroutines executing,/sched/goroutines/waiting:goroutinesfor goroutines waiting on resources, and/sched/threads/total:threadsfor the count of live threads owned by the Go runtime, all as uint64 counters. An example is provided to demonstrate how to read these metrics usingmetrics.Read, allowing developers to monitor and analyze goroutine behavior in their applications. - debug 2025-11-25 17:18:48
The article discusses the history and eventual failure of the .us domain and its locality-based naming scheme (RFC 1480), which aimed to create a hierarchical DNS structure based on US geography and political divisions. This failure highlights the tension between the technical desire for structured naming and the practical limitations of user-friendliness and bureaucratic inertia in the evolution of internet infrastructure.
The initial vision behind .us was to create a structured, hierarchical domain system mirroring the US's political geography, with domains like
ci.portland.wa.usfor city governments andk12.state.usfor school districts, as formalized in RFC 1480. However, this system was undermined by several factors, including the increasing automation and privatization of DNS management, the federal government's preference for the simpler.govdomain, and the general public's difficulty in understanding and remembering deeply hierarchical names; while the RFC 1480 names are still around, they are considered legacy and are slowly being phased out. - debug 2025-11-25 17:18:42
Object-oriented programming (OOP) is a broad paradigm with varying interpretations, and this article surveys the core ideas associated with OOP, discussing the trade-offs of each. Understanding these nuances is crucial for making informed decisions about software design and avoiding the pitfalls of blindly following "best practices" that may not be suitable for every situation.
The author breaks down OOP into key concepts like classes, method syntax, information hiding, encapsulation, interfaces, late binding, dynamic dispatch, inheritance, subtyping polymorphism, message passing, and open recursion, providing insights into the advantages and disadvantages of each; for example, while inheritance can be convenient for code reuse and dynamic dispatch, it can also lead to performance overhead, rigid hierarchies, and violations of the Liskov substitution principle, and encapsulation, while promoting self-contained objects, can hinder data locality and parallelism. The author also touches on common OOP best practices, such as preferring polymorphism over tagged unions, making data members private, and favoring extension over modification, and the author argues that these practices involve trade-offs that should be carefully considered rather than blindly adopted.
- debug 2025-11-24 21:08:34
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- debug 2025-11-21 21:24:25
The author argues for the adoption of dependency cooldowns, a waiting period between a dependency's publication and its integration into a project, as a simple and effective method to mitigate the majority of open-source supply chain attacks. Implementing dependency cooldowns can significantly reduce exposure to compromised dependencies, incentivize responsible behavior from supply chain security vendors, and prompt packaging ecosystems to incorporate cooldowns directly into package managers.
The argument is based on the observation that most supply chain attacks have a short window of opportunity (hours or days) between the introduction of malicious code and its detection/removal, while the time to compromise a project can be much longer. By implementing a cooldown period (e.g., 7-14 days), developers can avoid most attacks, as security vendors have time to identify and report compromised packages. This approach is easy to implement using existing tools like Dependabot and Renovate, and it encourages vendors to focus on rapid detection rather than overhyping vulnerabilities.
- debug 2025-11-18 21:43:15
The author argues that the terms "fast" and "slow" are often useless and even detrimental in programming due to the vast range of magnitudes software operates within. This imprecision can lead to miscommunication, mismatched expectations, and ultimately, flawed architectural decisions that can significantly delay or derail projects.
The article highlights that software engineering deals with performance considerations spanning approximately 19 orders of magnitude, making the subjective terms "fast" and "slow" inadequate for precise communication; for example, a web framework benchmarked at 10,000 requests per second might be irrelevant if the code within each request takes 50ms, capping throughput at 20 requests per second per core. The author suggests that developers should focus on specific metrics, competitive comparisons, and the time order of magnitude when discussing performance, and further cautions against premature optimization, where developers obsess over nanoseconds while neglecting milliseconds, and advocates for order-of-magnitude reasoning to identify the true performance bottlenecks in a system.
- debug 2025-11-18 21:39:18
The author demonstrates the practical utility of garbage collection (GC) theory by applying the principles of reference counting, a GC technique focused on identifying dead objects, to optimize incremental parsing in a text editor. This approach significantly improves performance by avoiding the need to traverse the entire document to identify nodes that are no longer in use, which is crucial for efficient bidirectional updates between the text and rich text versions.
The problem arose when using Ohm for incremental parsing in a ProseMirror-based text editor, where tracking changes between document versions required identifying nodes that were present in the old document but not in the new one. Initially, a tracing-based approach was used, which involved traversing the entire document to identify live nodes, negating the benefits of incremental parsing. Drawing inspiration from "A Unified Theory of Garbage Collection," the author implemented a reference counting mechanism to identify dead nodes, which only required visiting the nodes that were not reused in the new document. This optimization drastically reduced the processing overhead, making the bidirectional updates more efficient by focusing only on the nodes that were actually affected by the edit.
- debug 2025-11-14 17:22:03
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- debug 2025-11-13 21:24:09
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- debug 2025-11-08 22:34:15
Marko is presented as an HTML-based language that enhances web app development through features like streaming, targeted compilation, and fine-grained bundling. By adopting Marko, developers can expect to see improvements in initial load times, reduced bundle sizes, and better overall performance, leading to enhanced user experiences and more efficient resource utilization.
Marko extends HTML to build dynamic UIs, supporting features like streaming for faster content delivery, where HTML, assets, and images load asynchronously. It employs targeted compilation, optimizing code for specific environments (server or browser) and uses fine-grained bundling to ship only necessary code, reducing hydration and stripping unused code at the sub-template level. The framework also offers built-in TypeScript support, providing strong type inference across templates and components, which aids in early error detection and faster development.
- Build lightweight cross-platform desktop apps with JavaScript, HTML, and CSS | Neutralinojs (neutralino.js.org)debug 2025-11-07 23:57:43
Neutralinojs is a lightweight framework for building cross-platform desktop applications using JavaScript, HTML, and CSS, offering an alternative to Electron and NW.js by leveraging existing web browser libraries in the operating system. This approach results in significantly smaller application sizes and reduced resource consumption, making it easier and more efficient to develop and distribute cross-platform applications.
Neutralinojs achieves its lightweight footprint by not bundling Chromium and Node.js, unlike Electron and NW.js; instead, it uses the OS's existing web browser library and implements a secure WebSocket connection for native operations, along with a static web server. It supports any frontend framework and backend language, offering flexibility and integration capabilities via extensions and child processes IPC, and the resulting applications are highly portable, requiring no extra dependencies and supporting Linux, Windows, macOS, Web, and Chrome.
- debug 2025-11-07 23:35:27
The author recounts transitioning from web development to database development over a decade, highlighting the importance of continuous learning and strategic career moves. This journey underscores that a focused effort on understanding underlying technologies, combined with community engagement, can enable significant career shifts, even without traditional academic credentials.
The author's path involved self-directed learning in areas like HTTP servers, parsers, and eventually databases, driven by a desire to understand "black boxes." This was supplemented by active participation in database-related communities and projects, which increased visibility and networking opportunities, eventually leading to a role at EnterpriseDB despite initial typecasting concerns.
- Why I don’t test different designs at the same time – Adam Silver – designer, London, UK (adamsilver.io)debug 2025-11-07 19:22:02
Adam Silver argues against A/B testing different designs simultaneously, advocating for a sequential approach of designing, testing, and iterating on a single version. This approach streamlines the design process, reduces the risk of inconclusive results, and optimizes resource allocation, leading to more effective UX improvements.
The author posits that testing multiple versions concurrently introduces several challenges: it often yields ambiguous results due to the combination of preferred elements from different versions, contaminates user feedback as participants' experience with one version influences their perception of others, demands a significantly larger participant pool to achieve statistical significance, and may focus on differences that are imperceptible to the average user; instead, the author advocates for focusing on a single design, thoroughly testing it, identifying its flaws, and iteratively improving upon it, which is presented as a more efficient and effective method for achieving optimal UX.
- debug 2025-11-07 18:32:19
Addy Osmani from Google's Chrome Developer Experience team identifies the "70% problem" in AI coding, where AI tools rapidly generate a significant portion of code but struggle with the final, critical aspects like edge cases and production integration. This phenomenon leads to declining trust in AI-generated code, increased debugging efforts, and code review bottlenecks, ultimately impacting developer productivity and code maintainability.
Osmani's observations, gathered from tracking AI adoption at Google and across the industry, reveal that while AI can quickly produce the scaffolding and obvious patterns of code, the remaining 30% involving edge cases, security, and production integration remains as challenging as ever; this is further compounded by a decline in trust in AI-generated code, with favorable views dropping from 70% to 60% within two years and 30% of people reporting little to no trust. The "two steps back pattern" emerges, where AI-suggested fixes introduce new problems, leading to a cycle of debugging and rewriting that obscures code understanding and increases the risk of shipping vulnerable or unstable code. Osmani emphasizes the importance of human engineers maintaining control, understanding the generated code, and taking responsibility for the final product to ensure security, scalability, and maintainability, especially as productivity gains are often overstated and code review becomes a bottleneck.
- Building blobd: single-machine object store with sub-millisecond reads and 15 GB/s uploads (blog.wilsonl.in)debug 2025-11-06 22:04:33
Wilson Lin's blog post introduces blobd, a single-machine object store designed for sub-millisecond reads and high-speed uploads by leveraging modern technologies like io_uring and atomic writes, achieving performance superior to existing solutions like MinIO and RocksDB in specific use cases. The implications of blobd's design include potential advancements in high-performance, single-node storage systems, especially where low-latency reads and high throughput are critical, offering a compelling alternative to distributed systems for certain workloads.
The design of blobd involves several key optimizations: direct I/O to bypass the kernel page cache, atomic writes to eliminate the need for journaling, tuple blocks for efficient state management, an in-memory index for fast lookups, and buddy allocation for memory management; the initial design in C was refactored to Rust to improve development speed and memory management, and the transition to direct I/O and atomic writes significantly reduced overhead by removing the need for double writes and complex synchronization mechanisms; performance tests on an AMD EPYC 7502P system with NVMe SSDs demonstrated sub-millisecond time-to-first-byte for random 4KB reads, outperforming MinIO, RocksDB, and various file systems, showcasing the effectiveness of blobd's design in achieving its performance goals.
- debug 2025-11-05 18:18:56
MLflow is an open-source platform designed to streamline the entire machine learning lifecycle, from experimentation and model training to deployment and monitoring, now extending its capabilities to GenAI applications. This comprehensive approach enables organizations to accelerate AI development, improve model quality, and ensure production-ready AI solutions, fostering greater confidence and reliability in AI deployments.
MLflow achieves this by offering components for experiment tracking, model management, and deployment, alongside new features tailored for GenAI, such as observability, evaluations, prompt registries, and AI gateways; it supports integration with over 40 apps and frameworks, including PyTorch, OpenAI, HuggingFace, and LangChain, facilitating a unified workflow across diverse tools and environments; the platform's flexibility is further enhanced by offering both self-hosted open-source and managed hosting options, catering to different user needs and infrastructure preferences.
- Kyle Cascade - Preventing Kubernetes from Pulling the Pause Image from the Internet (kyle.cascade.family)debug 2025-11-05 17:57:20
The article argues that Kubernetes clusters should be configured to pull the
pauseimage from an internal registry instead ofregistry.k8s.ioto avoid external dependencies. By mirroring thepauseimage internally and reconfiguring containerd, you enhance cluster reliability and reduce reliance on a public registry without a guaranteed SLA.The
pauseimage is a critical component of Kubernetes, serving as the foundation for pod sandboxes by holding the Linux namespaces and formerly reaping zombie processes; it is specified by the CRI (Container Runtime Interface). By default, Kubernetes pulls this image fromregistry.k8s.io, but the author highlights the risk of depending on an external, volunteer-managed service without uptime guarantees. To mitigate this, the author recommends mirroring thepauseimage to a private registry and updating the containerd configuration file (containerd.toml) to point to the internal image, providing specific configuration examples for containerd versions 1.x and 2.x.