Let me say something that will probably annoy both sides. Yes, AI can solve most LeetCode problems instantly. And yes, I’m still practicing them. Not because I enjoy pain. Not because I love red/green submission screens. But because I’m …

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Let me say something that will probably annoy both sides.

Yes, AI can solve most LeetCode problems instantly.

And yes, I’m still practicing them.

Not because I enjoy pain.

Not because I love red/green submission screens.

But because I’m starting to realize something uncomfortable:

We are slowly losing our ability to think without assistance.

And that scares me more than AI ever did.

“Why Are You Still Grinding LeetCode? Just Ask GPT.”

I hear this constantly.

“Bro, interviews are outdated.”

“Bro, real work isn’t binary trees.”

“Bro, just use AI.”

Sure.

AI can give you a perfect DFS in seconds.

It can generate a dynamic programming solution cleaner than yours.

It can explain time complexity better than your college professor.

But here’s the real question:

If the AI disappeared tomorrow…

Would you still know what’s happening?

Or would you just be staring at your own code like it’s written in hieroglyphics?

The Layoffs Changed Everything

Let’s not pretend the last two years didn’t shift the ground under our feet.

Teams were cut.

“High performers” were let go.

Senior engineers were suddenly competing with mid-level devs.

Entry-level roles started asking for 3–5 years of experience.

And in that chaos, one pattern became obvious:

The people who survived weren’t the fastest typers.

They were the ones who could untangle complexity.

The ones who could:

Debug production issues without panicking

Reason through messy systems

Break down vague problems into structured steps

Think clearly under pressure

That’s algorithmic thinking.

That’s what LeetCode trains.

Not memorization.

Not trivia.

Structured thought.

AI Makes You Faster. It Doesn’t Make You Deeper.

I use AI every single day.

To refactor.

To scaffold.

To debug small issues.

To save time.

If you’re not using AI in 2026, you’re being stubborn.

But here’s the uncomfortable part:

AI makes you faster.

LeetCode makes you deeper.

And speed without depth is fragile.

You can ship features quickly with AI assistance.

But when:

There’s a race condition

Memory spikes under load

A weird edge case breaks production

The model-generated solution is “almost” correct

Someone still needs to think.

And if you’ve outsourced your thinking for too long, that moment becomes terrifying.

“But I Don’t Use Graphs at Work.”

Correct.

Most of us aren’t implementing Dijkstra on a random Wednesday.

But solving graph problems forces you to:

Model relationships

Track state transitions

Think about complexity

Visualize flows

And guess what large distributed systems are?

Graphs.

State machines.

Transitions.

Constraints.

LeetCode problems are artificial.

But the mental muscle they build isn’t.

The Real Problem: Comfort Addiction

AI removed friction.

You don’t sit stuck for 45 minutes anymore.

You don’t draw diagrams.

You don’t wrestle with recursion until it finally clicks.

You paste.

You regenerate.

You move on.

Efficient? Absolutely.

But growth rarely happens in comfort.

LeetCode forces friction.

It forces you to sit with not knowing.

And in an era where autocomplete finishes your thoughts, the ability to struggle productively is becoming rare.

The Dangerous Future Nobody Talks About

Imagine a generation of developers who can ship full apps with prompts…

…but freeze when:

The AI gives a wrong answer

The bug doesn’t reproduce locally

The system behaves unpredictably

The solution requires original reasoning

That’s not a hypothetical.

I’ve seen it already.

Developers who move incredibly fast, until they hit the 10% that requires raw thinking.

Then everything slows down.

Because they never trained that muscle.

So Should You Still Do LeetCode?

If your only goal is to pass interviews with AI assistance?

Maybe not.

If your goal is to become antifragile in a volatile market?

Yes.

Not because companies worship it.

Not because interview culture is perfect.

But because thinking is becoming optional.

And optional skills disappear.

This Isn’t About Nostalgia

I’m not romanticizing “the old days.”

I’m not anti-AI.

I’m not anti-productivity.

I’m not saying grind 500 problems like it’s 2018.

I’m saying this:

Use AI.

But don’t let it atrophy your brain.

Solve problems without help sometimes.

Struggle intentionally.

Build intuition.

Understand why the solution works before you paste it.

Because one day, the tool will fail.

And in that moment, the only thing left is you.

Final Question

If ChatGPT went offline for a week…

Would your coding confidence drop?

Or would it stay the same?

Be honest.

Are you sharpening your thinking?

Or outsourcing it?

Let’s fight in the comments.

CTI Threat Relationship Graph3 Knoten / 2 Relationen

CVE / Incident Software MITRE ATT&CK CWE Weakness IoC

IR-PLAYBOOK-RCEHIGH

Schritte anzeigen

SOC Incident Playbook: Remote Code Execution (RCE) Defense

WAF MitigationSofort

Virtuelles Patchen am Reverse Proxy / WAF für gefährdete URL-Pfade und Payloads aktivieren.

SecRule REQUEST_URI "@rx ..." "id:1001,phase:1,deny,status:403"

Web Shell ScanSofort

Web-Root auf neu angelegte Scripts, anomal modifizierte Dateien und Persistence scannen.

find /var/www -type f -name "*.php" -mmin -120

Outbound FilteringSofort

Ausgehenden Datenverkehr (Reverse Shells zu unbekannten IPs/Ports) blockieren.

ss -tunp | grep -E ":(4444|1337|8080|9001)"

Vendor Patching

Hersteller-Update in Staging validieren und schnellstmöglich in Produktion ausrollen.

apt update && apt --only-upgrade install <pkg>

1-Click Detection Engineering: Multi-Dialect SIEM Rules5 Formate

Regeln anzeigen

Syntax validiert (0 Fehler)

title: Detect Exploitation - LeetCode in 2026: The Skill Nobody Respects (But Everyone Still Needs)
id: c2c6a557-730f-4a19-9608-8f0511d59488
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-24
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access

Syntax validiert (0 Fehler)

rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-24"
        description = "YARA Signature for "
    strings:
        $str = "LeetCode in 2026: The Skill No" ascii wide
    condition:
        any of them
}

Syntax validiert (0 Fehler)

index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("LeetCode in 2026 The Skill Nobody Respec")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - count

Syntax validiert (0 Fehler)

message: "*LeetCode in 2026 The Skill Nobody Respec*"

Syntax validiert (0 Fehler)

CommonSecurityLog
| where Message has "LeetCode in 2026 The Skill Nobody Respec"
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc

🎯

MITRE ATT&CK Matrix Navigator 14 Taktiken

Reconnaissance

Resource Development

Initial Access

Execution

Persistence

Privilege Escalation

Defense Evasion

Credential Access

Discovery

Lateral Movement

Collection

Command and Control

Exfiltration

Impact

💡 Tipp: Klicken Sie auf eine TTP, um Gegenmaßnahmen und SIEM-Erkennungsregeln anzuzeigen.Enterprise Matrix v14.1

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Fokus-Vektor:

Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich LeetCode in 2026: The Skill Nobody Respe.... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.

🛡️ Angriffsfläche & Exposure

Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.

⚡ Empfohlene Sofortmaßnahmen

1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.

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Schnell-Prompts für Analysten

⚠️ DEFANGED SANDBOX VIEW (tsecurity.de): Alle Netzwerkindikatoren und URLs wurden neutralisiert (2 Indikatoren entschärft). Nur zur defensiven Analyse!

Format: python

#!/usr/bin/env python3
# Exploit Title: PoC for Target
import socket, sys
target = '192[.]168[.]1[.]10'
url = 'hxxp://target[.]local/vuln'
s = socket.socket()
s.connect((target, 80))
s.send(b'GET / HTTP/1.1\r\nHost: target.local\r\n\r\n')