DEV Community: Ali Sheraz

𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝘃𝘀. 𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: 𝗔𝗿𝗲 𝗬𝗼𝘂 𝗦𝘁𝗶𝗹𝗹 𝗖𝗼𝗻𝗳𝘂𝘀𝗲𝗱? 🤔

Ali Sheraz — Wed, 20 Aug 2025 11:21:59 +0000

AI is everywhere these days. 😎 From your morning coffee machine to the latest tech trends, everyone’s talking about it. But let’s be real… is it as mind-blowing as they say, or are we just falling for the hype? 🤖💥

Who hasn't heard of AI agents making decisions for us while we watching Netflix, right? But here’s the big question: What's the actual difference between AI and traditional automation that we’ve been using for years? Let’s dive in.

Wait, you thought they were the same thing? 😂 Spoiler alert: they’re NOT. Let me break it down for you:

🔍 𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻:

It’s your trusty robot that’s like, “𝘐 𝘥𝘰 𝘰𝘯𝘦 𝘵𝘩𝘪𝘯𝘨, 𝘢𝘯𝘥 𝘐 𝘥𝘰 𝘪𝘵 𝘢𝘨𝘢𝘪𝘯. 𝘈𝘯𝘥 𝘢𝘨𝘢𝘪𝘯. 𝘈𝘯𝘥 𝘢𝘨𝘢𝘪𝘯.”
Follows strict rules (because rules are life, right?).
No room for creativity. Zero. Zilch. Nada.

💥 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀:

Thinks for itself (yep, no joke).
Looks at complex problems like a boss and solves them.
Makes decisions based on data. No guessing is involved.
Learns, adapts, and grows basically, your robot’s been to college.
Handles chaos like a pro when things go off-script. 🤖🔥

See the difference yet? Traditional automation’s cute and all, but AI? AI is the future. 🚀

So next time someone asks, “𝘐𝘴𝘯’𝘵 𝘈𝘐 𝘫𝘶𝘴𝘵 𝘢𝘶𝘵𝘰𝘮𝘢𝘵𝘪𝘰𝘯?” You can hit ‘em with, “𝘖𝘩 𝘩𝘰𝘯𝘦𝘺, 𝘺𝘰𝘶’𝘷𝘦 𝘨𝘰𝘵 𝘢 𝘭𝘰𝘵 𝘵𝘰 𝘭𝘦𝘢𝘳𝘯.” 😏

👉 Want more fun insights on tech, growth, and all things awesome? Smash that follow button Ali Sheraz and let’s keep this convo going! 👇

𝗔𝗜 𝗛𝗮𝗹𝗹𝘂𝗰𝗶𝗻𝗮𝘁𝗶𝗼𝗻𝘀: 𝗟𝗲𝘀𝘀𝗼𝗻𝘀 𝗳𝗿𝗼𝗺 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲

Ali Sheraz — Wed, 20 Aug 2025 11:00:08 +0000

One thing I’ve learned while working with AI systems is that hallucinations are not just buzzwords. They’re real challenges that can break trust if not handled properly. Over time, I’ve found a few practical ways to minimize them:

🔹 𝗙𝗿𝗮𝗺𝗲 𝗰𝗹𝗲𝗮𝗿, 𝘀𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗽𝗿𝗼𝗺𝗽𝘁𝘀
Ambiguity in instructions often invites hallucinations. The clearer the context, the better the AI performs.

🔹 𝗚𝗿𝗼𝘂𝗻𝗱 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗲𝘀 𝘄𝗶𝘁𝗵 𝗲𝘅𝘁𝗲𝗿𝗻𝗮𝗹 𝗱𝗮𝘁𝗮
Connecting AI to a knowledge base, database, or APIs reduces the chance of it “making things up.” Retrieval-Augmented Generation (RAG) is a great technique here.

🔹 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗲 𝗼𝘂𝘁𝗽𝘂𝘁𝘀, 𝗱𝗼𝗻’𝘁 𝘁𝗿𝘂𝘀𝘁 𝗯𝗹𝗶𝗻𝗱𝗹𝘆
Always run sanity checks. Use regex validation, fact checking against known sources, or even secondary models to review.

🔹 𝗟𝗶𝗺𝗶𝘁 𝗼𝗽𝗲𝗻-𝗲𝗻𝗱𝗲𝗱𝗻𝗲𝘀𝘀 𝘄𝗵𝗲𝗿𝗲 𝗽𝗼𝘀𝘀𝗶𝗯𝗹𝗲
Structured outputs (JSON, tables, bullet points) are less prone to hallucination than free-form essays.

🔹 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗳𝗲𝗲𝗱𝗯𝗮𝗰𝗸 𝗹𝗼𝗼𝗽
Iteratively refine prompts and fine-tune models based on where they fail most often. AI improves when you treat hallucinations as learning signals.

At the end of the day, hallucinations can’t be fully eliminated, but with the right engineering approach, they can be managed to a point where AI becomes a reliable partner instead of a risky guesser.

👉 Curious to hear: what’s your go-to trick to catch or prevent hallucinations in AI?

👋 𝗜𝗳 𝘆𝗼𝘂'𝘃𝗲 𝗺𝗮𝗱𝗲 𝗶𝘁 𝘁𝗵𝗶𝘀 𝗳𝗮𝗿, 𝘁𝗵𝗮𝗻𝗸 𝘆𝗼𝘂!
Follow me for more content like this. I'm a Senior Software Engineer Helping Businesses Thrive. 🚀
📩 Open for backend projects, LLM integrations & product collaborations.

5 Tips⭐: To Control Scope Creep

Ali Sheraz — Mon, 06 Mar 2023 21:11:29 +0000

Scope Creep can be a significant challenge for project managers, as it can cause delays, budget overruns, and frustration for stakeholders. Here are some strategies for controlling scope creep:

✅Define the Project Scope:
It's essential to define the project scope clearly. This includes identifying the project's goals, deliverables, timelines, and budget. This will serve as a reference point throughout the project, helping to ensure that all stakeholders are aligned on the project's scope.

✅Establish a Change Management Process:
Establish a formal process for managing changes to the project scope. This should include a clear process for requesting, reviewing, and approving changes, as well as guidelines for evaluating the impact of changes on the project timeline and budget.

✅Communicate regularly with Stakeholders:
Regular communication with stakeholders is essential for managing scope creep. Project managers should keep stakeholders informed of project progress, potential changes to the scope, and any impact on timelines and budgets.

✅Track Progress against the Project Plan:
Regularly tracking progress against the project plan can help identify scope creep early on. Project managers should monitor the project's progress, comparing it to the project plan and identifying any potential deviations.

✅Prioritize Deliverables:
Prioritizing deliverables can help manage scope creep. Project managers should work with stakeholders to prioritize deliverables based on their importance to the project's overall goals. This can help ensure that the most critical deliverables are completed first, reducing the risk of scope creep.

By following these strategies, project managers can effectively manage scope creep, helping to ensure that projects are completed on time and within budget.

What is Cloud Computing?

Ali Sheraz — Thu, 16 Feb 2023 12:35:47 +0000

Cloud computing has become a critical aspect of modern technology, with businesses and individuals leveraging cloud infrastructure and services for everything from data storage to software development. In this article, we will explore what cloud computing is, its benefits, and the different types of cloud computing available today.

What is Cloud Computing?
In simple terms, cloud computing refers to the delivery of computing resources over the internet. These resources include storage, processing power, and software, which can be accessed from any device with an internet connection. Rather than relying on local infrastructure to store and manage data or run applications, cloud computing offers a scalable and flexible alternative that can be customized to the needs of each user.

Benefits of Cloud Computing:
Cloud computing offers a host of benefits that make it an attractive option for businesses and individuals alike. Here are just a few of the key advantages:

Scalability: Cloud resources can be easily scaled up or down based on the needs of the user, making it a more flexible and cost-effective solution than traditional infrastructure.

Accessibility: Cloud resources can be accessed from anywhere, at any time, making it easy for users to collaborate and work remotely.

Reliability: Cloud providers typically offer robust backup and recovery services, ensuring that data is always available and secure.

Cost-Effective: Because cloud resources are only paid for when used, it can be a more cost-effective solution for businesses than investing in expensive hardware and software.

Types of Cloud Computing:
There are three main types of cloud computing: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).

IaaS: IaaS provides users with access to infrastructure resources, such as virtual machines, servers, storage, and networking. Users are responsible for managing and configuring these resources, which gives them more control over their environment.

PaaS: PaaS provides users with a platform for developing, testing, and deploying applications. The provider manages the infrastructure resources, and the user is responsible for managing the application.

SaaS: SaaS provides users with access to software applications over the internet. Users do not need to manage any infrastructure resources, as the provider handles all aspects of the application.

Conclusion:
Cloud computing has transformed the way we store, manage, and access data and applications. Its scalability, accessibility, and cost-effectiveness make it an attractive option for businesses and individuals alike. As cloud computing continues to evolve, it is likely that we will see even more innovative solutions emerge, driving further growth and adoption in the years to come.

Good Software Development Teams don’t fall from Trees.

Ali Sheraz — Mon, 30 Jan 2023 11:25:03 +0000

Building a successful development team is often not as easy as it seems. Software development teams should be self-organizing and cross-functional. At the same time, team members must make a collaborative effort when it comes to communicating and implementing shared responsibilities.

To achieve this synergy of team structure and empowerment, development teams must have the following characteristics in mind:

The team should be naturally self-organizing where productivity depends on collective contributions.
Teams should be well-equipped and cross-functional; they possess all the team skills necessary to advance the product across all development stages.
Accountability belongs to the software development team as a whole.

Successful development teams have team members who:

Leave the codebase cleaner than how they found it.
Rather than directly criticizing people, they criticize their ideas.
Share past and present experiences to offer new team insights.
Have fun with each other and trust each other.