Open Source Project Advice

CCS8.0保姆级教程:手把手教你为F28335创建第一个工程(附完整库文件) 本文提供CCS8.0的保姆级教程,手把手教你为TMS320F28335创建第一个工程,包括环境准备、工程初始化、添加必要文件、集成基础库文件、配置编译环境及解决常见编译错误等步骤,并附完整库文件下载链接,帮助开发者快速上手F28335开发。 阅读详情
On August 9, 2013, in General Development, by Jim Cowart

Recently, David Neal – a friend and very talented developer – asked this question:

I’ve been mulling this question over myself. I’ve been involved in several OSS projects – many of which I’ve started. I can’t speak to the realities of running a project as large as something like jQuery, or Apache Cordova – since my projects have been a bit smaller. But I told David I’d think it over and write my thoughts down.

1.) Invoke Wheaton’s Law and Follow It Adamantly

I’m a former musician who happened into development and fell in love with writing software. I used to think that my knowledge was swiss cheese compared to many colleagues, but soon discovered that *everyone* has gaps in what they know. Each OSS project – no matter how large or small – will have a culture associated with it. Be patient with people who might not know what they need to know, but are asking questions. Be patient with know-it-alls who ignore Wheaton’s Law. Jerks don’t control your project, YOU do. Don’t cede control of culture, attitude or architecture to people who don’t display the character of a decent and humble human being. Period.

When you build a culture that has love of learning, love of creative innovation & humility as core traits – you’ve created a space for people at any level to come and safely learn and mentor. Some of the best friendships I’ve forged as a developer have come from people treating me with this kind of respect (looking at you Alex Robson, Nicholas Cloud, Doug Neiner and Elijah Manor), and it’s become my goal to treat others this way as well. It’s a huge honor to have a part in someone’s journey towards learning new things and being passionate about them.

2.) Choose a Permissive License

My go-to license is MIT. You can dual-license projects, if necessary. Check out http://choosealicense.com/, and of course read over license specifics at opensource.org.

3.) Don’t Rush to Version 1.0 status

You’re going to want and need the space to iterate, improve, refactor and change. We’re all adults here. If someone uses your library at v0.2.3, then they have judged the risk as acceptable (hopefully), even though the project is young. You can remind people in your README or other documentation that the project is experimental and subject to change. While we all know that slapping the label “version 1.0″ on something doesn’t make it production ready, there’s still a large number of developers who will perceive it that way. Not rushing your project to that place will help you manage the next piece of advice.

4.) Don’t Be Afraid to Break APIs (but do so responsibly)

I made a huge mistake early on with one of my projects (postal.js) – by not moving the API in the direction I wanted it to go. I was trying to be sensitive to a user of the library (not a bad thing). However, in hindsight, I feel it stalled the direction and maturity of the project for a couple of versions. When I finally made the breaking API changes, I felt like the project had new life in it, and ideas I’d had for extending it began to flow much more easily. I took the time to solicit feedback from people using the library – using gists to get their input, for example. This is important not only for you to learn from those using your code in-the-trenches, but it helps educate them on what the changes are & includes them in that process. Being included in the loop when breaking changes hit lowers the resistance and frustration level that would otherwise be directed at you.

5.) Don’t Be Afraid to Say:  ”No”, “Please Submit Tests”, “Please fix {x}”, etc.

Sometimes you’ll get pull requests that are terrible ideas. Sometimes, it’s a great idea, but doesn’t really belong in the library – maybe it should be a plugin, or maybe you should start a contrib project to act as a potential feature funnel. Sometimes you get PRs that don’t have tests. These are all situations where you will need to say “No” in some way. Remember rule #1 when you do this. Most developers will appreciate you explaining your reasoning in a respectful way. Closing it with “No.” as the only comment is NOT a good way to handle it. You can still have strong opinions (I certainly do), but it’s the mark of a real human being to have strong opinions and still be capable of respectful, rational discourse.

If you say “No” because they didn’t include tests, then you’d better have tests of your own. :-) If you have a specific formatting style (tabs, spaces, whatever), explain it in your README. Noisy commits due to whitespace changes are something you want to avoid, trust me.

6.) Choose Partners Wisely

If your project grows to the point to where you really need extra help beyond people submitting pull requests, etc. – then consider bringing on other developers as fellow project owners and/or maintainers. Choose these people wisely, though. You want good partnerships, of course. Figure how (and if) your visions for the project align. No one will think exactly like you – and that’s a good thing. But there needs to be enough overlap in vision for a foundation of unity on direction. No matter how knowledgeable or popular someone is, if they are a dick (see # 1 above), DO NOT LET THEM BECOME AN OWNER. The kinds of people you want contributing are people that love what we do, not drama. Toxic political drama in an OSS project is, IMO, the death knell of the project. It’s OK to vary the kinds of control you give to contributors/owners. If a junior developer wants to be involved and help fix bugs – you don’t have to give them ownership-level rights. This is a great way for many people to learn and grow, while also benefitting your project.

7.) Give Credit Where It’s Due – Be Liberal With Praise and Encouragement

Of course – have a thick skin and be an adult if someone doesn’t give you credit. However, it’s a sign of maturity and trustability (is that even a word?! :-) ) when someone is OK with not taking all the credit. As an OSS author, if someone comes up with a killer idea for your project, praise them publicly and often! Seriously – this alone can do so much to encourage a younger (or less secure) developer – and help fortify them against the inevitable run-in(s) with arrogant jerks. I will admit that if I am working with someone who does not give credit where it’s due (whether it’s due me or someone else) and takes it for themselves instead, I’m far less likely to trust them in most things – not just development.

8.) Don’t Be Afraid to Move On

I’ve started a few projects that I thought were great ideas at the time, and now I’d run from them, screaming. (In fact, I have a blog I need to write at some point about one of them, saying “I was wrong, I’m sorry”!) It’s hard to do this if others still find your project useful. If you’re abandoning it because you’ve learned better approaches, then explain why. If it leads to a new OSS project, then helping others understand how they can migrate to the new library could be nice way to help them out. If you’re abandoning it because you don’t have time, you could reach out and ask if anyone would be willing to take over ownership of the project.

If you deprecate a project that someone’s using, expect them to be frustrated. Unfortunately, that’s reality. But let’s put it into perspective. Before I became an OSS author and consumer, I wrote a lot of the same kinds of utilities for apps, and never generalized them enough to make them re-usable. Instead, those utilities languished and rotted inside a code base that was mostly closed. Finding an OSS library that could’ve managed that particular feature over just 2 or 3 of those apps before it ‘retired’ would have still been a huge time saver.

Overall – Don’t Be Afraid, Period.

OSS is beautiful and dangerous. The large projects at the top of the ladder are not representative examples of what life is like further down. The everyday, in-the-trenches nature of OSS involves endless churn and lots of death and creation. You will find projects that are huge helps – and they could disappear one day in the future – unless you want to pick up the torch and manage it from there. This is why critical thinking, continual growth and creativity as a developer trumps knowledge of a particular API or tool. APIs and tools have brutally short life cycles, don’t let that happen to your knowledge.

Hermes Agent:从单次问答到长期记忆的AI助手技术演进与实践 AI Agent技术作为人工智能领域的重要分支,通过模拟人类智能行为实现自主决策和任务执行。其核心原理基于感知-决策-行动循环,结合机器学习算法实现环境交互。在技术价值层面,Agent技术突破了传统AI的单次交互局限,实现了持续学习和知识积累。特别是在软件开发领域,AI助手能够通过记忆机制理解代码库结构、记录调试历史,显著提升开发效率。Hermes Agent作为长期记忆Agent的典型代表,通过向量化存储和智能检索机制,将AI助手从临时工具升级为长期开发伙伴。这种技术演进使得AI能够真正融入开发工作流,在 阅读详情

相关推荐

云工程实战:用Pulumi重构Kubernetes基础设施的四大核心能力

云工程(Cloud Engineering)是将基础设施作为软件来构建、测试与演进的系统性工程范式,其核心在于赋予基础设施可版本化、可测试、可依赖管理与可增量发布的软件属性。它超越传统IaC(Infrastructure as Code)的模板化思维,以Kubernetes为运行时底座,以Pulumi为关键实现载体,打通开发、运维与安全协同链路。该范式显著提升环境一致性、变更可追溯性与合规自动化水平,广泛应用于金融、SaaS及中大型企业多云治理场景。本文聚焦真实项目落地路径,深入解析Pulumi如何支撑生产

dichengyan0013的博客 430

CS224n-05 Backpropagation and Project Advice

05 Backpropagation and Project Advice

Thinking data 351

基于LangChain与LangGraph构建医疗问诊智能体:从原理到实战

最近在尝试将大语言模型(LLM)应用到具体业务场景时,很多开发者都会遇到一个共同的困惑:如何让一个“聪明”的模型,变成一个能稳定、可靠、按流程完成复杂任务的“智能体”(Agent)?尤其是在医疗、金融、客服这类对流程和准确性要求极高的领域,单纯调用模型API往往力不从心。 本文将以一个 医疗问诊智能体 的完整构建过程为例,手把手带你理解 LangChain、LangGraph 和 LangSmith 这三个核心工具如何各司其职,协同工作。你将看到如何从一个简单的想法出发,逐步搭建起一个具备导诊、分诊、多轮对

527

开源磁盘清理工具:从原理到实战的完整解决方案

磁盘清理工具作为系统优化的重要组件,其核心原理是通过智能扫描算法识别计算机中的冗余文件。这类工具基于文件系统特性,分析文件的创建时间、访问频率和类型属性,从而精准定位可安全删除的临时文件、缓存数据和日志文件。在技术价值层面,开源磁盘清理工具不仅能够有效释放磁盘空间,还能通过代码透明性确保操作安全性,避免误删关键系统文件。从应用场景来看,无论是开发环境的临时文件积累,还是日常使用中的浏览器缓存清理,都需要高效的磁盘管理方案。本文聚焦于Python实现的磁盘清理工具开发,详细解析了文件扫描算法、安全删除机制等核

weixin_34101229的博客 628

AI增强自动化测试实战:从0到1搭建Web UI与接口测试框架

自动化测试是保障软件质量的关键手段,通过脚本执行可重复的验证流程,显著提升回归测试效率。其核心原理是将业务操作转化为可自动运行的断言逻辑,但传统模式下脚本维护成本高昂,尤其是在UI元素频繁变动时。AI增强自动化测试利用大语言模型的理解与生成能力,辅助测试用例生成、元素定位及失败诊断,从根本上降低维护成本。在工程实践中,结合Pytest和Selenium构建Web UI自动化框架,并通过Requests实现接口自动化,可以覆盖核心业务链路。当用例执行失败时,AI可分析页面HTML、接口响应和日志,快速定位问题

weixin_28839699的博客 250

Claude多智能体模式:Advisor与Orchestrator架构实战解析

多智能体协作是AI工程中的重要架构模式,通过分工协作实现计算资源的优化分配。其核心原理是将复杂任务分解为不同层级的子任务,由最适合的模型处理特定环节。这种架构的技术价值在于平衡性能与成本,在Advisor模式中,Sonnet作为执行者处理常规任务,Fable在关键决策点提供指导;Orchestrator模式则由Fable负责整体规划,Sonnet并行执行子任务。应用场景涵盖代码生成、研究分析、批量数据处理等复杂任务。本文聚焦Claude开发者高频使用的Advisor和Orchestrator两种具体模式,通

weixin_34378767的博客 367

【课程设计】springboot智能老人生活辅助应用-计算机毕业设计源码42874

1基本信息管理:存储老年人的基本信息,如健康状况、常用药物、过敏史、紧急联系人等。 2用药提醒:根据医嘱设置用药时间和剂量,通过应用通知或短信提醒老年人按时服药。 3紧急求助功能:提供一键求助按钮,老年人在紧急情况下可以快速发送求助信息和当前位置给紧急联系人或救援服务。 4日常活动记录:记录老年人的日常生活活动,如饮食、锻炼、睡眠等,分析活动模式,提供健康建议。 5亲情定位:让家人能够实时查看老年人的位置,确保其安全。 6辅助出行:提供出行建议,如导航、公共交通信息、天气状况等,帮助老年人安全

Biye_Design的博客 3361

Superdna:本地DNA分析工具,保护隐私并实现个性化基因数据查询

基因数据作为个人生物信息的重要组成部分,其安全与隐私保护日益受到关注。传统云端分析平台虽然便捷,但存在数据泄露风险和高昂的订阅成本。本地DNA分析工具通过将数据处理流程完全置于用户可控环境中,从根本上解决了隐私安全问题,同时提供了灵活的可编程接口。这类工具通常基于命令行界面(CLI)和Python API构建,能够解析常见的基因数据格式(如23andMe、VCF),并通过RSID快速查询特定SNP位点的基因型。其技术价值在于赋予用户对自身基因数据的完全控制权,支持定制化分析流程,并可与外部数据库(如dbSN

weixin_30542079的博客 457

跟著Qcadoo MES系统学习产品设计

Manufacturing Execution System,MES是工业4.0的核心系统,智能制造的大脑,跟踪Qcadoo MES学习产品设计001

通达的博客 2147

Mythos:首个可规模化漏洞挖掘的AI安全协处理器

漏洞挖掘是网络安全的核心能力,其本质是结合程序分析、系统建模与攻击路径推理的复杂工程。传统方法高度依赖专家经验,难以复现与规模化。随着大模型在代码理解、多步推理和沙箱验证上的突破,具备任务感知路由、漏洞利用成功率预测与多阶段攻防博弈能力的AI模型,正将‘发现可利用漏洞’从艺术转化为可集成、可调度、可版本化的工程能力。Claude Mythos作为该范式的首个工业级实现,标志着AI不再仅辅助安全分析,而是成为CI/CD中实时守门、遗留系统考古加固、红蓝对抗预判响应的关键协处理器。

weixin_33736649的博客 417

Agent Runtime 正在 commoditize:从沙箱到事件日志的架构革命

Agent Runtime 不再是开发者需自研的底层工程,而是演进为类操作系统的托管基础设施。其核心原理在于将状态管理从易失的模型上下文(context window)迁移至持久化、可审计的事件日志(Event Log),实现崩溃可恢复、调试可回放、合规可验证。这一转变赋予 runtime 三大技术价值:降低运维复杂度、强化凭证与数据安全、提供确定性成本模型。典型应用场景覆盖金融风控、保险理赔、电商售后等需长周期、多步骤、强审计的生产级智能体系统。Anthropic Managed Agents 的发布,标

banshen0201的博客 392

基于Web的宠物医院管理信息系统 计算机毕业设计源码87965

普通用户功能分析 (1)注册和登录:提供便捷的用户注册和登录功能,采用安全的加密算法对用户密码等敏感信息进行存储和传输,确保用户账户安全。同时,支持多种登录方式,如用户名密码登录、手机验证码登录等,以满足不同用户需求。 (2)宠物信息管理:用户能够添加、编辑和删除宠物的详细信息,包括宠物的品种、年龄、性别、疫苗接种情况等,方便用户随时更新宠物档案。 (3)查看宠物健康档案:用户可随时查看宠物的健康档案,包括过往的诊断记录、治疗方案、用药情况等,便于了解宠物的健康历史和当前状况。 (4)宠物预约管理:实现宠物

Biye_Design的博客 248

Python xlwings报错解决:从‘NoneType‘到完美运行WPS表格的完整指南

本文深入解析了使用Python xlwings库自动化WPS表格时遇到的经典'NoneType'报错(AttributeError: 'NoneType' object has no attribute 'apps')的根源与解决方案。核心在于pywin32版本与WPS的兼容性问题,文章提供了从版本降级、依赖管理到构建健壮自动化环境的完整实战指南,帮助开发者彻底解决兼容性难题,实现稳定运行。

n4o5p6q7r的博客 303

工作中使用到的单词(软件开发)

1.エイリアス   alias 别名 powershell使用 get-help 命令时,会得到与此命令 相关(别名)的命令 2.プロキシ proxy 代 理 3.プロモート   promote 促进,提升   开发的系统新功能上线发布,有时会使用到这个词,比如 STプロモート 还有使用リリース这个词的。比如STリリース。个人认为两者含义相同。 4.見逃し み................................................................

sun0322 6万+

FreeRTOS:卡在configASSERT( ( pxQueue ) )问题的解决

FreeRTOS卡在configASSERT( ( pxQueue ) )问题的解决

qq_42007164的博客 9568

医疗AI新思路:为什么Graph Neural Network能改善气道分割的漏检问题?

本文探讨了Graph Neural Network(GNN)在医疗AI领域改善气道分割漏检问题的创新应用。通过分析3D UNet等传统方法的局限性,揭示了GNN在图结构建模中的独特优势,特别是在捕捉细小末梢支气管方面的突破性表现。文章详细介绍了UNet-GNN混合架构的设计原理、实验性能对比及优化方向,为CT影像分析提供了新思路。

weixin_30379531的博客 224

CLI-Anything:让AI智能体自动理解并调用命令行工具的框架

在AI智能体技术领域,如何扩展Agent的执行能力是核心挑战之一。其原理在于通过大语言模型解析命令行工具的帮助文档,将自然语言描述转化为结构化、机器可读的工具定义。这项技术的价值在于极大降低了将海量现有CLI工具集成到AI工作流中的门槛,实现了AI Agent能力的指数级扩展。应用场景广泛覆盖个人效率助手、自动化运维、数据处理流水线等领域。CLI-Anything框架正是这一理念的工程实践,它通过自动化生成符合OpenAI Function Calling等规范的“工具描述”,解决了AI Agent与命令行

weixin_34269583的博客 338

微信小程序如何集成EasyRTC实现零插件音视频通话?5步搞定完整接入流程

本文详细介绍了如何在微信小程序中集成EasyRTC SDK,实现零插件的实时音视频通话功能。通过5个关键步骤,包括环境配置、SDK初始化、核心功能实现、性能优化和问题排查,帮助开发者快速完成WebRTC技术在小程序中的落地应用,解决微信小程序原生不支持实时音视频通信的技术难题。

weixin_28340315的博客 144

编译器 | 从工业实现到极简设计 —— 编译器的多元形态与实践

……

u013669912的博客 894

详解Σ-Δ型ADC拓扑结构的基本原理

现在,总环路滤波器的H(f)具有更大的滚降,Mod 2型的噪声传递函数具有40 dB/十倍频程的上升速率。同样,当正弦波输入为负满量程时,+1和–1之间的转换会减少,输出以–1为主。噪声传递函数是一个高通滤波器函数,提供噪声整形,在DC附近的较低频率,对量化噪声有很强的抑制。H(f)是环路滤波器的函数,定义噪声和信号的传递函数。Σ-Δ型ADC的噪底由热噪声决定,而不受量化噪声的限制。量化噪声为量化器的输入与输出之差。图5. Mod 1 Σ-Δ环路的线性模型(b),包括方程、滤波器、信号和噪声传递函数图。

qq_43416206的博客 1810

Qt C++ bridge模式(桥)

Bridge模式使得抽象和实现能够相对独立。 bridge.h #pragma once #include class CImplementor { public: virtual void operateImp() = 0; }; class CRectImplementor : public CImplementor { public: CR

thinkme2010的专栏 1894

大模型Agent开发实战:从提示词工程到ReAct智能体构建

大语言模型(LLM)作为基于海量数据训练的概率模型,其核心能力在于理解和生成人类语言,通过模式匹配实现上下文理解与指令跟随。其技术原理在于将自然语言指令转化为可执行的推理过程,这催生了提示词工程这一关键领域,旨在通过结构化指令引导模型输出。在工程实践中,通过引入外部工具和规划能力,LLM可演化为具备自主决策与行动能力的智能体(Agent),极大拓展了其在自动化任务处理、数据分析等场景的应用价值。其中,ReAct(推理-行动)范式通过交替进行内部推理与外部工具调用,成为构建实用Agent的主流框架。本文聚焦于

weixin_34293911的博客 300

XXL-Job 分布式定时任务

XXL-JOB是一款轻量级分布式定时任务调度框架,采用调度中心与执行器分离架构,解决单机任务宕机、重复执行等问题。核心模块包括调度中心(管理任务配置、触发调度)和执行器(执行任务逻辑),支持集群部署保证高可用。框架提供丰富的任务触发规则、路由策略、阻塞策略及完善的运维能力,适用于多种业务场景如数据同步、定时推送等。安装时需准备MySQL数据库并初始化表结构,通过Docker部署调度中心服务。相比其他定时框架,XXL-JOB具有轻量化、可视化等优势,是中小企业的首选方案。

郭宝的博客 703

JavaWeb学习

#前端部分(了解)课程思路、前端要素(Web了解、html、JS、vue、ajax、Element等)传统路线现在课程大纲路线## 前端要素(Web了解、html)HTML语法特点基本标签html标签(span)html标签(a)html标签(video)盒子模型:html标签(div)html标签(表格)html标签(表单)## 前端要素(JS)JS引入方式JS基础语法JS函数JS对象(基础(只关注Array、String、JSON)、BOM、DOM)JS事件监听## 前端要素(Vue)插值表达式Vue常

qq_2634545805的博客 431

芯片原厂linux驱动开发的分享

大家好,我是XX,来自湖南XX学院,电子信息18级,也曾在创新基地控制组学习过两三年,毕业后就职于一家芯片原厂的解决方案部,担任驱动工程师的职位,算上实习期,我的工作时长已有两年。在此我想将这两年期间学习与积累到的一些经验输出出来,与大家一同分享。知识面有限,只能简单介绍一些驱动开发方向的一些经验,且由于经验尚浅,文中难免会有一些疏漏和错误之处,还请大家积极地批评指正。

嵌入式技术开发 850

数学建模模型总结

这是本人在两年内准备参加数学建模竞赛搜集到的模型资料,已经经过了本人的筛选和整理,希望能够对准备参加数学建模竞赛的学弟学妹们提供一些帮助!

Deep Agents 框架-基础篇

DeepAgents是LangChain生态中的高级API,构建于LangChain核心智能体模块和LangGraph运行时之上,旨在简化复杂智能体的开发。它提供任务规划、文件系统管理、子智能体生成等内置功能,适用于长期运行的多步骤任务。然而,DeepAgents并非独立框架,仍需依赖LangChain和LangGraph,学习成本较高。文档详细介绍了其核心能力、与LangChain/LangGraph的差异、配置方法及最佳实践,强调其在处理复杂任务时的优势,但也指出工程化选择需谨慎考虑其依赖关系和实际需求

yanghuashuiyue的专栏 448

jre9下载 jdk9

(Java SE Runtime Environment 9.0) 9.0u175 官方最新版 【x86|x64】

上一篇: Create a Java Web Application using Embedded Tomcat (如何使用Embedded 创建一个基于Tomcat的Web 应用))
下一篇: Web 页面内容优化与性能优化技巧
努力突破
博客等级 码龄17年 36粉丝 113原创
评论
成就一亿技术人!
拼手气红包6.0元
还能输入1000个字符
 
 条评论被折叠 查看
添加红包

请填写红包祝福语或标题

个

红包个数最小为10个

元

红包金额最低5元

当前余额3.43元 前往充值 >
需支付:10.00元
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付元
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值