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Grow-BitByBit

This is a submission for the GitHub Copilot Challenge : New Beginnings What I Built Becoming a great developer happens bit by bit—through constant learning and growth. For me, that means keeping up with quality readings. There a…

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This is a submission for the GitHub Copilot Challenge : New Beginnings






What I Built



Becoming a great developer happens bit by bit—through constant learning and growth. For me, that means keeping up with quality readings. There are times when I'm so drained after a long day that I usually skip my daily reading because even finding a good article becomes a task. I mean I can randomly stumble upon something but what if I don't? I skip my daily reading.



For 2025, my New Year’s resolution is to read consistently about topics that interest me. That’s why I created BitByBit—a simple, efficient app designed for developers like me who want to learn without the hassle.






What It Does?




  • Provides the simplest SignIn-Thanks to firebase Google Sign In
    -On the first Sign in, User selects the topics or interests they want to explore.

  • Next time, you’re greeted with a tailored list of articles, sourced specifically for you.

  • The app, powered by Google Programmable Search Engine ensures you receive high-quality, relevant content, so you can focus on learning instead of searching






Demo




  1. Sign In to the App via Google



Sign In with Google





  1. Select your interests
    These are AI-generated topics/interests for you to select from. Once user selects them and clicks on "Save", they get stored in the database so that whenever user logs in again, he gets a list of articles on one of the interests selected previously.



select interests



select interests



3.Get your Articles

One of the selected topics is used to fetch articles in that genre using Google Programmable Search Engine.



list of articles



list of articles



Try the app here






Repo



Click here to access the repository






Copilot Experience



GitHub copilot is a gamechanger. One of the features is its ability to automatically extract all the text from a selected file, eliminating the need for copy-pasting and saving a tremendous amount of time.



Copilot code generation

For the development of this app, most of the coding tasks—like creating components, setting up AuthGuard, integrating Firebase, building the Authentication Context provider, and even crafting APIs—were accomplished with GitHub Copilot Chat in VSCode. Another good part was how it would break down the task into simple steps to follow.



Copilot steps given

All it took was a single prompt like I would type "generate an api that does...." and it would create a proper function.



Moreover,I used Typescript for this project-something that I'm still not a pro at-so a lot of errors thrown were also fixed using the inline chat. Again, this saved a lot of time since all I had to do was just select the text.



Copilot inline chat for fixing errors



The model switcher feature is also pretty useful but I personally liked using Claude 3.5.






GitHub Models



There are several GitHub Models available in GitHub Marketplace with proper instructions and code snippets on how to integrate them. Moreover, there is also a Playground to compare different models. I tried GPT 4o and Mistral models for my use case there and found Gpt4o to give best results most of the time. Hence, I decided to use GPT 4o for my topic generation part.






Conclusion



With the support of GitHub Copilot, this project has the potential to become valuable for developers looking to build a consistent reading habit. It simplifies the process, ensuring you have quality articles tailored to your interests—all just a sign-in away!

1. Sofort-Triage & Abwehrmaßnahmen

SOC Incident Playbook: Remote Code Execution (RCE) Defense
Syntax validiert (0 Fehler)
title: Detect Exploitation - Grow-BitByBit
id: 1feadc88-bc83-46b5-a94d-38ba367da837
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-25
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 = "2026-09-25"
        description = "YARA Signature for "
    strings:
        $str = "Grow-BitByBit" ascii wide
    condition:
        any of them
}
Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("Grow-BitByBit")
| 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: "*Grow-BitByBit*"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "Grow-BitByBit"
| 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 Grow-BitByBit.... 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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