984.1K
TLHow does software development work?
@tldv.io
High Volume
#Softwaredevelopment
Dünyanın dört bir yanından insanlardan Softwaredevelopment hakkında 7.5M Reels videosu izle.
Giriş yapmadan anonim olarak izle.
7.5M posts
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657.4K
COTech Salary Comparison – Fresher vs 3 Years vs 5 Years Experience
Curious about how salaries grow in the IT industry? 🚀
In this video, we break down average salary ranges across top tech roles including software development, data science, cloud, devops, cybersecurity, and product management.
📊 Whether you are a fresher planning your career or a professional targeting your next milestone, this quick guide helps you understand industry salary trends and growth potential.
⚠️ Note: Salaries may vary based on skills, company, location, and performance.
✨ Highlights
✅ salary growth roadmap
✅ top paying tech roles
✅ experience-wise comparison
✅ career planning insights
[tech salaries india, software developer salary, data scientist salary, fresher salary it, 3 years experience salary, 5 years experience salary, it career growth, tech salary comparison, highest paying tech jobs, machine learning engineer salary, cloud engineer salary, devops engineer salary, product manager salary, it industry salary trends]
#techjobs #techsalary #itsalary #careergrowth #softwaredeveloper
@codewithprashantt
468.7K
SHEverybody aims for top-tier tech roles. Top-tier pay. Top-tier growth.
But very few strategize and tailor their preparation accordingly.
Be real:
Are you still…
- forgetting what you solved last week?
- jumping between random LeetCode questions?
- guessing patterns instead of recognising them?
- practicing without a timer?
That’s not preparation.
That’s hope.
Comment “DSA” and I’ll send you a solid DSA Roadmap consisting of:
✅ 50+ interview-proven patterns
✅ 250 carefully selected problems
✅ Pattern recognition tips
✅ AI-assisted doubt solving
With pattern-based learning, your confidence goes up and you stop panicking, even when a new question pops up.
Because you’re no longer solving problems.
You’re recognizing patterns.
[ Coding Interview, Data Structures and Algorithms, LeetCode, Interview preparation, Software development, Tech career, Competitive programming, DSA Patterns, Problem solving, Coding tips, FAANG ]
#DSA #DSAPatterns #LeetCode #TechCareer #FAANG
@shivanjaliverse
87.3K
TL✨software development ✨ #productmanagement
@tldv.io
601.2K
CLEvery programming language has a different learning curve. Some are designed to be beginner-friendly, while others require a deeper understanding of how computers work internally.
Languages like Python, JavaScript (basics), and Ruby are considered easier because they have simple syntax and large communities. This makes them great starting points for beginners entering software development.
Languages such as Java, C#, advanced JavaScript, and Go sit in the middle. They require stronger concepts like object-oriented programming, concurrency, and system design.
Moving further, C, C++, and Rust are more challenging because they involve memory management, low-level operations, and performance optimization.
At the most difficult end are languages like Assembly and Haskell. Assembly works very close to hardware, while Haskell introduces functional programming concepts that can be difficult for many developers.
Difficulty doesn’t mean better or worse — it simply depends on the problem you are solving and the system you are building.
#ProgrammingLanguages #CodingJourney #SoftwareEngineering #LearnToCode
programming language difficulty, easiest programming languages, hardest programming languages, python vs c++, coding learning curve, beginner programming languages, software development languages, programming skills roadmap, developer learning path, coding fundamentals.
@cloud_x_berry
113.1K
SIEpisode 7: This is how @austinwright77 and I developed an app that is doing over $75k+ in monthly reoccurring revenue. He's the brain behind the operations, I just help round out the software development of his ideas.
@sicknider.raw
7.2M
HAThe following analysis examines the iterative evolution of asset design within the Minecraft ecosystem, focusing on the refinement of creature models and animations.
Procedural Evolution of Digital Entities
The footage provides a comparative study of "Old" versus "New" entity designs, illustrating a shift toward high-fidelity voxel art. This transition is triggered by the continuous optimization of the game's rendering engine, allowing for complex limb articulations and dynamic environmental interactions without compromising performance. For instance, the evolution of aquatic entities like the dolphin and squid demonstrates a move toward biologically inspired movement patterns, replacing the more rigid, rudimentary models of earlier development cycles.
Systematic Asset Refinement
The turning point in this design history occurred as developers sought to establish aesthetic continuity across the procedurally generated world. By updating legacy assets—such as the wolf, cat, and sheep—to match the higher detail of newer creatures like the frog, the game achieves a more immersive visual language. These updates include subtle enhancements like ear movements and expressive facial textures, which serve to increase the perceived vitality of the digital entities. This process emphasizes that in long-term software development, the iterative refinement of existing assets is critical to maintaining a contemporary standard of digital art while preserving a recognizable brand identity.
#minecraft
@hardcore.mc
80.4K
TRThis X post shares a 15-second video of a 3D-printed slider gadget enforcing the project management triangle: users can toggle only two of "fast," "cheap," or "good" before the third deactivates, visually proving inevitable trade-offs in any endeavor. Released on December 31, 2025, the clip exploded to 4 million views and 14,000 likes within days, tapping into universal frustration with unrealistic client demands in fields like software development and contracting. User replies draw parallels to industry axioms, such as construction's "pick two" rule for quality, speed, and cost, amplifying the post's educational value through shared anecdotes.
@trending.whigga
8.9M
PAThe Truth Behind the Loading Bar: Why Progress Isn't Always Linear
While the animation in this video looks like a simple creative twist, it perfectly illustrates the hidden complexity of data fetching and system processing. In software development, progress bars are rarely a direct reflection of "work done" because many tasks are unpredictable. When the bar pauses or stutters, it’s often because the system has hit a "bottleneck" or a heavy dependency—like waiting for a slow API response, decrypting a large file, or the browser struggling to render complex UI elements. Developers often use "deterministic" bars for simple tasks where the file size is known, but for complex cloud operations, we rely on "asynchronous" logic where the bar has to guess how much time is left. If the bar stops, it means the backend is working through a heavy sequence of logic that wasn't as fast as the initial data transfer. Understanding these pauses helps us build better, more transparent interfaces that manage user expectations through clever design rather than just raw speed.
Comment your thoughts below! Follow @pandoraa.tech for more cutting-edge tech content. 💻 Visualizing the invisible work of code!
[loading bar logic, software bottlenecks, progress bar physics, why loading takes time, frontend development, API latency, backend processing, user experience design, tech education]
@pandoraa.tech
2.5M
BISoftware development in 2026 doesn’t look like it did five years ago it feels like a different profession entirely.
We’re no longer typing code line by line and hoping everything integrates. Tools like OpenAI’s GPT-5.3 Codex and Claude Code have turned AI into built-in collaborators that can read repositories, generate entire features, fix bugs, create tests, and even propose pull requests for review.
Platforms like GitHub now let developers choose from multiple coding agents Copilot, Claude, Codex, or even custom models directly inside their workflow, reducing context switching and human friction.
Nvidia engineers are already writing three times as much code by leaning on AI-assisted development environments like Cursor, where AI writes, reviews, and tests complex work so humans can focus on the higher-level logic.
The focus in 2026 isn’t “autocomplete” anymore it’s agents that understand full repositories, run multi-step tasks, and operate with autonomy. Copilot suggests, Claude Code iterates contextually, Codex acts as an autonomous dev partner and tools are emerging that orchestrate these agents like a software engineering team.
This isn’t incremental improvement.
It’s a shift from typing code to managing AI collaborators where once you wrote loops, now you coordinate agents.
If you’re building software in 2026, your job isn’t just coding…
It’s orchestrating intelligence.
@big.air.lab
369.1K
HAWill this be our biggest mistake🥲???
What do you think about where we are heading with AI development right now? Let me know in the comments!
[Coding, Dsa , python, Java , web development, telugu, resources, tips, engineering, jobs , internships, software development, Students, upskilling, Resume, interview, hacks, AI, Artificial intelligence, AI Tools, AI Agents, Roadmap, free, AI race]
@harsha_verse
81.2K
ACGit changed how developers collaborate. However, the next shift in version control could be even more significant.
In a recent discussion, developer and educator ThePrimeagen shared a bold prediction:
The way we manage code might change dramatically in the next few years.
Git, created by Linus Torvalds, has been the backbone of modern software development. It’s deeply tied to the file system and reflects how programming workflows looked when it was designed.
But the landscape is changing.
AI coding tools, autonomous agents, and new developer workflows are pushing the limits of traditional version control systems. What worked for human-driven commits and pull requests might not work the same way when AI systems start generating, reviewing, and modifying large amounts of code.
According to ThePrimeagen, the next generation of tools could reshape how developers track changes, collaborate, and manage codebases.
And the transition might occur even more quickly than the shift from SVN to Git.
We could be entering a new era of AI-native development infrastructure.
Speaker: ThePrimeagen
---
💬 What do you think?
Will Git still dominate in 10 years, or will AI-driven development necessitate a completely new approach to version control?
---
#AIcoding #softwareengineering #programming #developers #technews
🎥🗣: @theprimeagen
@activeprogrammer
✨ #Softwaredevelopment Keşif Rehberi
Instagram'da #Softwaredevelopment etiketi altında 7.5 million paylaşım bulunuyor ve platformun en canlı görsel ekosistemlerinden birini oluşturuyor. Bu devasa koleksiyon, şu an gerçekleşen trend anları, yaratıcı ifadeleri ve küresel sohbetleri temsil ediyor.
Instagram'ın devasa #Softwaredevelopment havuzunda bugün en çok etkileşim alan videoları sizin için listeledik. @pandoraa.tech, @hardcore.mc and @big.air.lab ve diğer içerik üreticilerinin paylaşımlarıyla şekillenen bu akım, global çapta 7.5 million gönderiye ulaştı.
#Softwaredevelopment dünyasında neler viral? En çok izlenen Reels videoları ve viral içerikler yukarıda yer alıyor. Yaratıcı hikaye anlatımını, popüler anları ve dünya çapında milyonlarca görüntüleme alan içerikleri keşfetmek için galeriyi inceleyin.
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🌟 Öne Çıkanlar: @pandoraa.tech, @hardcore.mc, @big.air.lab ve diğerleri topluluğa yön veriyor
#Softwaredevelopment Hakkında SSS
Pictame ile Instagram'a giriş yapmadan tüm #Softwaredevelopment reels ve videolarını izleyebilirsiniz. İzleme aktiviteniz tamamen gizli kalır - hiçbir iz bırakılmaz, hesap gerekmez. Hashtag'i aratın ve trend içerikleri anında keşfetmeye başlayın.
İçerik Performans Analizi
12 reel analizi
💡 En iyi performans gösteren içerikler ortalama 4.9M görüntüleme alıyor (ortalamadan 2.7x fazla). Orta seviye rekabet - düzenli paylaşım momentum oluşturur.
Kitlenizin en aktif olduğu saatlerde haftada 3-5 kez düzenli paylaşım yapın
İçerik Oluşturma İpuçları & Strateji
🔥 #Softwaredevelopment yüksek etkileşim potansiyeli gösteriyor - peak saatlerde stratejik paylaşım yapın
✍️ Hikayeli detaylı açıklamalar işe yarıyor - ortalama açıklama uzunluğu 870 karakter
📹 #Softwaredevelopment için yüksek kaliteli dikey videolar (9:16) en iyi performansı gösteriyor - iyi aydınlatma ve net ses kullanın
✨ Çok sayıda onaylı hesap aktif (%33) - ilham almak için içerik tarzlarını inceleyin
#Softwaredevelopment İle İlgili Popüler Aramalar
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