Ninjavis is a tool that visualizes Ninja build logs, providing insights into build processes. It parses the log file to create an interactive HTML visualization displaying the dependencies between build targets and their execution times. This allows developers to quickly identify bottlenecks, parallelisms, and dependencies within their builds, facilitating optimization and debugging. The visualization includes features like zooming, panning, and searching, making it easier to navigate complex build graphs and understand the flow of the build process.
Tony Fadell, in an excerpt from his book "Build," reveals storytelling lessons learned from Steve Jobs while working on the iPod and iPhone. Jobs emphasized creating a simple, almost reductive narrative focused on a singular core message, avoiding feature lists. He believed in crafting an emotional connection with the audience by focusing on the "why" – how the product improves lives – rather than just the "what" – its technical specifications. Jobs also meticulously rehearsed presentations and product demos, controlling every detail to ensure a compelling and persuasive narrative. Finally, he insisted on empowering others to tell the story too, ensuring consistent messaging across the organization.
HN commenters largely discussed the value of storytelling, particularly in a business context. Some were skeptical of the excerpt's framing of Jobs as a "master storyteller," arguing that his success stemmed more from product vision and marketing savvy. Others pointed out the importance of substance over storytelling, suggesting that a compelling narrative can't mask a mediocre product. A few commenters shared personal anecdotes about effective storytelling in their own careers, while others debated the ethics of manipulating emotions through narrative. One highly upvoted comment highlighted the difference between manipulative and inspirational storytelling, emphasizing the importance of authenticity and genuine belief in the message.
Wild is a new, fast linker for Linux designed for significantly faster linking than traditional linkers like ld. It leverages parallelization and a novel approach to symbol resolution, claiming to be up to 4x faster for large projects like Firefox and Chromium. Wild aims to be drop-in compatible with existing workflows, requiring no changes to source code or build systems. It also offers advanced features like incremental linking and link-time optimization, further enhancing development speed. While still under development, Wild shows promise as a powerful tool to accelerate the build process for complex C++ projects.
HN commenters generally praised Wild's speed and innovative approach to linking. Several expressed excitement about its potential to significantly improve build times, particularly for large C++ projects. Some questioned its compatibility and maturity, noting it's still early in development. A few users shared their experiences testing Wild, reporting positive results but also mentioning some limitations and areas for improvement, like debugging support and handling of complex linking scenarios. There was also discussion about the technical details behind Wild's performance gains, including its use of parallelization and caching. A few commenters drew comparisons to other linkers like mold and lld, discussing their relative strengths and weaknesses.
Summary of Comments ( 4 )
https://news.ycombinator.com/item?id=43208507
Hacker News users generally praised ninjavis for its potential usefulness in debugging and optimizing build processes. Several commenters pointed out the difficulty of parsing Ninja logs and appreciated a tool that could provide a visual representation. Some suggested desired features like the ability to filter by target or to integrate with existing build visualization tools like Chrome's tracing. One commenter expressed concern about the project's reliance on Python's regular expressions for parsing, suggesting it might be brittle. Another mentioned potential for improvement by leveraging Ninja's
-t query
functionality for more robust data extraction. Overall, the comments reflect a positive reception to the tool, with an emphasis on its practical applications for developers.The Hacker News post for "ninjavis – generate visualization from ninja build logs" has a modest number of comments, sparking a brief but focused discussion around the tool's utility and potential alternatives.
One commenter expresses appreciation for the tool, highlighting its value in understanding complex build processes, especially when dealing with large projects and unfamiliar codebases. They mention how visualizing the build dependencies can help identify bottlenecks and optimize the build process. This commenter doesn't mention any specific alternatives but focuses on the general benefit of build visualization.
Another commenter suggests Chrome's "about:tracing" as a potential alternative for visualizing build processes. They don't elaborate on the specifics of how it compares to ninjavis, leaving it as a suggestion for those familiar with Chrome's tracing tools to explore.
A third commenter mentions the utility of
ninja -t graph
for visualizing dependencies and suggests combining it withdot
. They further explain how they usesed
to filter the output for specific targets, making the visualization more manageable and focused. This commenter provides a practical example of an alternative approach for achieving similar visualization.Another individual mentions having previously used
ninja -t graph
withdot
and having written custom tooling on top of this to generate visualizations. This underscores the recurring theme of developers creating custom solutions for build visualization before tools like ninjavis became available. They further suggest filtering the graph output to target specific areas of interest, reinforcing the advice of the previous commenter.Finally, a commenter mentions
buildbuddy
, a commercial service offering similar functionality for build analysis and visualization. This introduces a commercial alternative to the open-source ninjavis and other DIY solutions discussed in the thread.In summary, the comments section primarily explores alternative methods for visualizing build processes, ranging from existing Ninja features combined with command-line tools to a commercial service. The overall sentiment is positive towards build visualization as a helpful tool for understanding and optimizing complex projects. The commenters offer practical tips and suggestions for those interested in exploring various options based on their needs and preferences.