Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

AI has completely changed how code gets written. Models can now generate thousands of lines in minutes. That speed is exciting but it also creates a new problem... reviews are slow. Context is missing. Bugs slip through. The bottleneck isn’t writing code anymore, it’s understanding and shipping it safely....

49,398 Aufrufe • vor 7 Monaten •via X (Twitter)

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

You sit down to code. You have your playlist on. Coffee’s still warm. You’re ready to build. Then it starts… You forget a syntax. You open a tab. You Google it. You end up on StackOverflow. You read three different answers. Now you’re in the docs. And suddenly, you’re 10 tabs deep and completely out of flow. Sound familiar? You didn’t stop because the problem was hard. → You stopped because your workflow broke. Too many tabs. Too many distractions. Too much time spent not coding. That’s why AugmentCode exists. It’s a smart AI tool that lives inside VS Code and helps you code faster, smoother, and with way less friction. Let me explain how it helps: 👇 1. AI THAT ACTUALLY UNDERSTANDS YOUR CODE ⚡ Most AI tools guess based on your prompt. AugmentCode reads your actual codebase and gives help that fits. It can: ✅ Explain functions ✅ Fix bugs ✅ Refactor messy logic ✅ Answer your coding questions—in real time All inside your editor. 2. INSTANT DOCUMENTATION, NO TAB-HOPPING⚡ You know when you highlight a function and have no idea what it does? Now you can just select it → press a shortcut → and boom. Documentation shows up right inside VS Code. No more Googling. No more context-switching. 3. ASK IT QUESTIONS—ABOUT YOUR OWN PROJECT ⚡ This part’s WILD. You can literally ask: → “What does this file do?” → “Where is this function used?” → “Can you simplify this logic?” And it answers based on YOUR code. No more copy-pasting into ChatGPT and explaining everything from scratch. 4. GENERATE TESTS WITHOUT THE HEADACHE ⚡ Testing is important but let’s be real, writing unit tests is no one’s favorite part. AugmentCode can generate tests for your actual functions based on their logic. Not generic boilerplate—real, usable tests. 5. YOU NEVER LEAVE VS CODE ⚡ Everything: debugging, docs, AI chat, test generation...happens inside your IDE. It’s just you, your code, and an assistant who actually helps. 6. BUILT FOR REAL DEVELOPERS ⚡ This isn’t a flashy AI toy. It’s a practical tool built for indie hackers, full-stack devs, and shipping teams. → The UX is clean. The output is useful. It just works. 🔥 AugmentCode runs 2 to 3 times faster than GitHub Copilot, making it a powerful choice for large-scale projects where speed matters. It also supports collaborative coding by offering shared context and built-in integrations with tools like Slack, helping teams communicate better. If you write code, you need this. Simple as that. 👉 Because the future of coding isn’t about replacing devs. It’s about AUGMENTING them.

EyeingAI

26,587 Aufrufe • vor 1 Jahr

What they don't tell you about vibe coding: • Moltbook exposed 1.5M auth tokens. The owner hadn't written a single line of code. • Tea App leaked 72,000 government IDs. The database was just open, no sophisticated hack needed. • A researcher took control of a journalist's computer through her own vibe-coded game, without a single click. The code ran fine in all three cases, tests passed, reviews looked clean, and nothing raised a flag. That's the problem nobody is talking about. Teams are shipping faster than ever. AI writes the code. CI catches build failures. Tests catch regressions. Observability catches outages. But nobody is asking the one question that actually matters: What can an attacker do with this, right now? Because the bottleneck is no longer writing code. It's understanding what that code actually exposes once it's live. PR reviews miss auth edge cases. Unit tests don't probe broken access control. Staging environments don't simulate adversarial behavior. And business logic flaws look completely fine until someone decides to break them on purpose. Strix is an open-source tool that fills this gap. It reviews your running app the way an attacker would: - Crawls the app and maps every exposed route and flow - Probes abuse paths dynamically, not just at build time - Returns findings with proof-of-concepts and suggested fixes Strix was benchmarked against 200 real companies and open-source repos, where it found 600+ verified vulnerabilities including assigned CVEs. It's designed to fit into how modern teams already work. Run it before a release, after major changes, or continuously as the app evolves. If your team is shipping AI-generated code and you don't currently have a way to answer "what does this actually expose", it's worth looking at. GitHub link in the next tweet.

Akshay 🚀

52,284 Aufrufe • vor 2 Monaten