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How I Beat the LeetCode Grind with Tiny Habits

✍️ Inspired by Gayle Laakmann McDowell (Cracking the Coding Interview) 💡 Backed by BJ Fogg’s Tiny Habits Method 🚀 How I Beat the LeetCode Grind Many people quit solving LeetCode or CTCI problems after 1–3 weeks. Why? …

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✍️ Inspired by Gayle Laakmann McDowell (Cracking the Coding Interview)


💡 Backed by BJ Fogg’s Tiny Habits Method










🚀 How I Beat the LeetCode Grind



Many people quit solving LeetCode or CTCI problems after 1–3 weeks.



Why?



Because the problems are hard, the learning curve is steep, and there are just too many to go through.



But what if the solution isn’t grinding harder — it’s starting smaller?



That’s exactly what I discovered by combining two powerful ideas:





  • Gayle McDowell’s strategy: Brute-force first, then optimize


  • BJ Fogg’s Tiny Habits method: Build momentum with small wins









🎯 My 3-Phase System



Here’s the simple system I followed that helped me stay consistent, get faster, and actually enjoy the process.









🌱 Phase 1: Starter




  • 👣 Solve 1 problem every 1–3 days

  • Take your time. Understand brute force deeply.

  • Build the habit, not speed.



Once you complete 15 problems, move to Phase 2.









🧠 Golden Rule (All Phases)



For every problem, always do this:




  1. ✅ Start with brute-force (even if it's O(n²))

  2. ⚙️ Think of optimizations → can you get to O(n)?

  3. 🧠 Write your thought process before coding



This mirrors how top candidates explain their ideas in interviews — just like Gayle recommends in Cracking the Coding Interview.









🔥 Phase 2: Warmer



Now you’re more confident. Let’s build retention and recall.



Use the 1–1–1 strategy daily:




  • 🔁 1 problem from yesterday

  • 🔁 1 from the past 5 days

  • 🆕 1 new problem






✍️ Add These 2 Habits:





  1. Write a Daily Log
    Example:



🗓️ 2025-07-28

✅ Problem: Daily Temperatures

🧠 Brute: nested loop

⚙️ Optimized: stack → O(n)

🧪 Status: Passed




  1. ** Write UnitTest**
    Just a few asserts. Helps you catch mistakes fast.









⚡ Phase 3: Speeder



Now layer your memory like spaced repetition.



Use the 1–1–1–1–1 method daily:




  • 1 from yesterday

  • 1 from 5 days ago

  • 1 from 10 days ago

  • 1 from 14 days ago

  • 1 new problem



You’ll be reviewing across time and reinforcing memory naturally — like Anki flashcards but for code.









📊 Track Like a Pro (The Tiny Habits Roller)



Inspired by BJ Fogg, I created a tiny tracking system to build momentum.






✅ Option 1: Google Sheet






























No Date Time Problem Difficulty Phase Approach Status Notes
1 2025-07-28 05:00 Daily Temperatures Medium Phase II Brute → Stack ✅ Used decreasing stack





📝 Option 2: Markdown Log







markdown
## 📆 2025-07-28
### ✅ Problem: Daily Temperatures
- Phase: II
- Difficulty: Medium
- Approach: Brute → Stack (O(n))
- Notes:
- Used stack for next warmer day pattern

You can track this locally or push it to a GitHub repo to showcase your learning journey.

⸻

🧠 Why It Works
• ✅ Brute-force → Optimize → Test: from Gayle
• 🧱 Tiny daily wins: from BJ Fogg
• 🔁 Spaced recall: real learning
• 🧪 Logs + Tests: real engineering
• 📊 Track it = Keep it rolling

⸻

✍️ Final Thoughts

If you’re feeling overwhelmed by LeetCode:

Start tiny. Stay consistent.
Build the roller — then let momentum take over.

“Tiny wins today → Big confidence tomorrow.” — Me 😄

⸻

Let me know if you try this system — or have your own method.
Let’s grow together! 🚀

---


1. Sofort-Triage & Abwehrmaßnahmen

SOC Incident Playbook: Remote Code Execution (RCE) Defense
Syntax validiert (0 Fehler)
title: Detect Exploitation - How I Beat the LeetCode Grind with Tiny Habits
id: 80ecfeeb-0677-4d46-91fc-f205411f3331
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-26
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 = "2026-09-26"
        description = "YARA Signature for "
    strings:
        $str = "How I Beat the LeetCode Grind " ascii wide
    condition:
        any of them
}
Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("How I Beat the LeetCode Grind with Tiny ")
| 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: "*How I Beat the LeetCode Grind with Tiny *"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "How I Beat the LeetCode Grind with Tiny "
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc

2. Cyber Threat Intelligence & Forensik

CTI Threat Relationship Graph2 Knoten / 1 Relationen
CVE / Incident Software MITRE ATT&CK CWE Weakness IoC
🎯
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
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:

Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich How I Beat the LeetCode Grind with Tiny .... 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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