In today's programming world, ChatGPT is like a bright but controversial new star, which has a significant impact on programming. However, this influence is like a double-edged sword, if not used properly, it may make us "hurt" on the road of programming.
I. Over-reliance on ChatGPT Programming: A Crisis in the Dark Abyss
1. Individual programming skills: "Stolen" growth
Imagine that those who are new to programming are like children who are just learning to walk. If they come across programming assignments and seek answers from ChatGPT without thinking, it's like they've been assisted all the time and their legs have never been really hard. For example, if you write a simple guessing game and get the code directly from ChatGPT, on the surface you have completed the task, but in reality? They are totally confused about how random numbers are generated in the code and how loops are cleverly designed. In the long run, when they really need to program independently, such as when taking exams or participating in real projects, they will be like people who leave their crutches, bewildered, because their programming ability never really grows.
2. Operational understanding: "derailment" from reality
Programming and business are supposed to be tightly intertwined gears that work together to drive a project forward. However, over-reliance on ChatGPT will make this gear system go awry. Take the development of e-commerce platform as an example, the world of e-commerce is like a complex labyrinth, full of all kinds of promotional rules and such "organs". If you only rely on ChatGPT to generate code, the code may be like a fly without a head, unable to accurately deal with the logic of promotions such as full-price discounts, buy-one-get-one-free, etc. This will lead to a mismatch in the actual operation of the platform. This will lead to a messy promotion in actual operation, user experience will be in a mess, and the development of the e-commerce platform will be in trouble as a result.
3. Career development: the blocked path to promotion
In the cruel battlefield of the workplace, programmers who rely too much on ChatGPT are like warriors wearing heavy shackles. For example, if a company is upgrading its inventory management system, a programmer who relies on ChatGPT for a long period of time will be in trouble. Each company's inventory management has its own unique features, such as special classification methods and inventory rules. ChatGPT's solution is like a one-size-fits-all template that doesn't fit the company's situation. As a result, the project progress would be as slow as a snail's pace, and there might even be data security problems. In the company's eyes, such a programmer is like a star that has lost its light, unable to show its value, and naturally, his promotion and salary increase will be a failure, and he may even face the fate of being eliminated.
4. Security risks: the "Sword of Damocles" hanging overhead
In the kingdom of software development, security is the dragon that guards the treasure. However, over-reliance on ChatGPT can make this dragon doze off. Take the case of online payment software, which is a "vault" for the safety and privacy of users' money. If you blindly use the code generated by ChatGPT, you may be like leaving countless loopholes in the door of the vault. For example, there may not be strong enough anti-theft magic in the user login process, and there may be no secure encryption shield in the data transmission process. Once hackers, the "evil dragon", discover these flaws, the user's money and privacy will be looted, bringing a devastating blow to both the user and the software company.
5. Teamwork: the disrupted harmony of music
In the big band of a team, each member should be a musician playing a great melody. However, if a member relies too much on ChatGPT programming, he or she is like a person who doesn't know the music score but is playing the music randomly. For example, if the member responsible for a character's skill system uses ChatGPT to generate code for the game's ensemble, he or she may not be able to explain the interaction logic between the skill system and other systems (such as the character attribute system and the combat system) at the critical "ensemble" stage of code integration. This will lead to the skill effect in the game "run in tune", such as the skills of the blitz effect can not be triggered correctly, the game lags and other problems occur frequently, seriously undermining the progress of the project and the quality of the "music" of the harmony of the team's collaborative atmosphere will be like a storm struck the lake, no longer calm. The atmosphere of teamwork will also be like the surface of a lake that has been hit by a storm, and will no longer be calm.
II. ChatGPT's Shimmer in Programming: Not for Nothing
1, code templates: programming on the road "shortcut trail"
In some common programming tasks, ChatGPT is like an intimate guide that can quickly point out a code template "shortcut" for programmers. For example, for basic file reading and writing operations, it can quickly generate a usable code framework, just like building a simple scaffolding for the programmer. Programmers can easily modify and improve on this basis, greatly saving time and improving the efficiency of programming.
2. Programming Ideas: "Enlightened Stars" in the Darkness
When programmers are lost in the "foggy forest" of complex algorithmic problems or new functional requirements, ChatGPT is like a shining star to guide them. For example, when solving complex graph algorithmic problems, the solution it shows may be like the key to open the treasure, inspire programmers to find more suitable solutions, help programmers to broaden their thinking, and enable them to find the exit faster in the programming "maze".
III. Breaking free from the web of dependence and starting the journey of upgrading programming skills
1、Build a strong programming foundation: the strong cornerstone of the programming edifice
Delving into the "Magic World" of Data Structures and Algorithms
By attending specialized courses or online tutorials, you will be able to fully grasp the principles and applications of data structures (from simple arrays and chain lists to complex trees and graphs, etc.) and algorithms (from common sorting algorithms and searching algorithms to more advanced algorithms), just like an explorer delving into a mysterious cave. For example, you will try to realize the insertion and deletion operations of red-black trees in programming, and experience the feeling as if you were doing magic, as well as skillfully applying various sorting algorithms. In this way, you will be able to select the optimal algorithm according to the actual situation like a wizard selecting the appropriate magic spell, without being confused by the code generated by ChatGPT.
Become a programming language "juggernaut".
For commonly used programming languages (Python, Java, C++, etc., the "kingdoms" of the programming world), it is important to learn their syntax, features, and standard libraries in the same way that a king learns about his own territory. Take Python as an example, you need to understand how generators and decorators work, and how to use multi-threading and multi-processing modules. Only in this way, when facing the code generated by ChatGPT, you can accurately judge its quality and make targeted changes, just like a wise king recognizes the truth.
2. Insight into business logic: a "bridge" between programming and reality
"Intimate dialogues" with business units
Before the "journey" of project development, it is necessary to have in-depth communication with business departments like old friends. For example, in the development of financial risk assessment software, it is necessary to have a long talk with financial experts, business personnel and these "industry wise men", to understand the risk assessment indicators of different financial products, calculation methods and special rules of these "industry codes", to ensure that the code can be written to accurately reflect the business logic like a precise compass. Like a precise compass, the code written can accurately reflect the business logic.
Business blueprinting: the "magic paintbrush" from the abstract to the concrete
According to the business requirements, we pick up the "magic brush" for drawing business models and flow charts. When developing a financial trading system, carefully draw a grand picture of the entire process from user orders, transaction matching, fund settlement to risk control, clearly showing the business rules and data flow of each link, so that the programming process is like sailing along a map, closely centered on the business logic, to avoid being led astray by the generic code of ChatGPT. to avoid being led astray by ChatGPT's generic code.
3. Strengthening Security Awareness: Guarding the "Iron Wall" of the Programming Kingdom
Learning Secure Programming Practices: A "Construction Manual" for Secure Lines of Defense
Drill down into industry security programming standards, such as the OWASP Secure Coding Guidelines, a "security codebook". When developing web applications, use this "codebook" to build a fortified castle with strict security for input validation, output coding, password storage, etc., so as to prevent the "enemy" (hackers) from using ChatGPT code to take advantage of your application. (hackers) by using ChatGPT code.
Security Auditing and Testing: The "Siren Mirror" of Security Vulnerabilities
In the process of programming, you should regularly take professional code scanning tools (such as Checkmarx, Fortify and other "demon mirror") to conduct a security audit of the code to check whether there are hidden security risks like the little monster in the dark. At the same time, carry out various security tests, such as penetration tests, vulnerability scanning tests, etc., like a heroic guardian to promptly find and fix possible security problems in ChatGPT code.
4. Optimizing teamwork and knowledge sharing: "nuclear fusion" of team power
Establishment of code review and sharing "round tables"
Establish regular code review "roundtables" within the team, where code written by members, including code generated and modified using ChatGPT, is reviewed as if it were a treasure. In this process, we share "treasures of wisdom" such as programming ideas, business logic implementation methods, and optimization suggestions. For example, when developing a mobile application, by reviewing the code of the user login module and discussing how to better implement the remember password function and its security, team members can learn from each other like "wizards of knowledge" and reduce their reliance on ChatGPT.
Creating an internal code base and knowledge base: a "treasure trove" of team wisdom
Establish the internal code base of the team as a "treasure warehouse" to collect and organize proven quality code. At the same time, build a knowledge base as a "wisdom hall" to record business requirements analysis, solutions to common problems, programming skills and other content. In this way, members can prioritize getting help from internal resources like selecting weapons in a treasure trove when programming and reduce the frequency of using ChatGPT. And members are encouraged to share their experiences and lessons learned from using ChatGPT in the knowledge base to increase the team's vigilance in its use.
5. Practice Makes Perfect: The "Golden Path" for Programming Ability Enhancement
Programming "Adventures" from Small Projects
Imitating the classics: "starting out" on the shoulders of giants
Find some classic small-scale programming projects from the "enchanted forest" of the web, such as simple command-line calculators, to-do list applications, etc., and start the "adventure" of imitation practice. In the process of imitation, not only to realize the basic functions, but also to learn the good code style and norms like an apprentice learning ancient magic. Take the command line calculator as an example, after completing the basic four operations function as a "small magic", gradually add more complex functions, such as bracket operations, power operations, etc., like upgrading the magical skills to deepen the understanding of programming.
Self-expansion: "Growing" beyond boundaries
Expanding functionality to smaller items after completing the mimicry is like breaking a magic seal. For the to-do list application, you can add features such as task priority setting and sorting tasks by date. This requires redesigning and optimizing data structures and algorithms like a wizard redesigning a magic array, thus exercising problem-solving skills and programming thinking.
Commitment to open source projects: the "experience" of the programming world.
Finding the right project: the first step into the open source world.
According to your own interest and technical level, find a suitable open source project on open source platforms (such as GitHub, the "programming lake"). For example, if you are interested in web development and have some basic knowledge, you can choose a small front-end framework project. Before participating in the project, read the project's documentation and code structure carefully, as if exploring a mysterious sect, to understand its implementation principles and functional features.
Positive contribution and exchange: the "growth path" of a master of the jungle
Start with simple tasks, such as updating documentation and formatting code, and familiarize yourself with the collaborative processes and code specifications of open source projects. As you become more familiar with the project, try to solve some real code problems like a brave jianghu warrior, such as fixing bugs or adding new features. In this process, you can exchange experiences with other developers in the issue area of the project, learning their ideas and methods, and broadening your programming horizons.
Solving Life's Problems: "Everyday Applications" of Programming Magic
Automating the everyday: making life "magical"
Applying programming to everyday problem solving and automating tasks is like bringing magic to life. For example, if you often need to work with a large number of files, you can write Python scripts as a "magic spell" to batch rename or format files. In the process, you learn how to manipulate the file system using a programming language and how to utilize related libraries such asosModule,reThese "magic tools" (modules, etc.) enable complex functionality.
Developing utilities: creating your own "magic artifacts"
Developing practical gadgets based on your hobbies or work needs is like building an exclusive magic artifact. For example, for data analysis enthusiasts, you can develop a simple data visualization tool. From using Python'smatplotlibmaybeseabornStarting with simple bar charts and line graphs, you will gradually learn how to map data onto graphical elements, set axis labels, titles, and other advanced magic tricks. As you gain experience, try to create more complex visualizations, such as interactive Sankey diagrams or geographic information maps, to improve your programming skills.
Dance with ChatGPT and dominate the programming path!
In short, ChatGPT is a powerful "magic assistant" in the programming world, but we should not be confused by its "magic" and fall into the trap of over-reliance. We have to make use of it skillfully, and at the same time, improve our programming ability through various ways, deeply understand business logic, build a strong security line, optimize teamwork, and actively practice. Only in this way can we grow up in the charming "magic world" of programming, become a master programmer who can solve problems independently, and truly dominate our own programming path, instead of getting lost in dependence and becoming a puppet controlled by "magic". Puppet.