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How I Built My Own Programming Language from Scratch

I Built a Programming Language Called Zen Building a programming language had been something I wanted to do for a long time. What I didn't realize when I started was how much work exists beyond parsing a few tokens and generating some…

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I Built a Programming Language Called Zen



Building a programming language had been something I wanted to do for a long time.



What I didn't realize when I started was how much work exists beyond parsing a few tokens and generating some code. A language is not just a parser or a compiler backend. It is tooling, developer experience, documentation, installation, error handling, runtime support, and countless design decisions.



After multiple attempts and many lessons learned, I'm excited to share Zen.



Why a Third Attempt?



Zen is not the first language project I started.



My first attempts taught me a lot, but they never reached a stage where I felt comfortable sharing them publicly. The architecture was incomplete, important components were missing, and the overall developer experience wasn't where I wanted it to be.



Instead of abandoning the idea, I kept iterating.



Each attempt helped me better understand:



Compiler architecture



Language design



LLVM



Runtime integration



Tooling and usability



Error handling



Project structure



Zen is the result of those lessons.



What Is Zen?



Zen is a programming language with its own compiler pipeline and LLVM-based backend.



The goal was not just to generate code, but to create a complete language ecosystem that developers can actually install and use.



Zen currently includes:



Lexer



Parser



AST generation



LLVM IR generation



Native executable generation through LLVM



Runtime integration



Standard library integration



Command-line tooling



Installation system



Documentation website



Compiler Pipeline



The compilation process follows a traditional compiler architecture:



Source Code

↓

Lexer

↓

Parser

↓

AST

↓

LLVM IR Generation

↓

LLVM Optimization

↓

Object Files

↓

Native Executable



LLVM handles optimization and machine code generation, allowing Zen to produce native binaries.



Command Line Interface



Zen provides several commands for development and inspection:



zen run

zen build

zen ir

zen ast

zen tokens

zen clean



This allows users to inspect different stages of compilation while also supporting normal build and execution workflows.



Installation



One of my goals was making the language easy to install.



Zen can be installed with a single command:



curl -fsSL https://raw.githubusercontent.com/Jishith-dev/Zen/main/install.sh | bash



The installer:



Checks required dependencies



Downloads Zen



Builds runtime components



Builds standard library objects



Sets up the CLI



Documentation



A language is only as useful as its documentation.



I spent significant time building documentation and a dedicated website so that users can quickly understand the language and get started.



Documentation:



Zen Documentation



Website:



Zen website



Challenges



Building Zen involved solving many problems that are easy to underestimate:



Designing compiler architecture



Managing LLVM integration



Runtime linking



Module handling



Error reporting



Cross-platform installation



Documentation structure



Developer experience



Many of these challenges were not obvious when I started.



What I Learned



The biggest lesson was that building a programming language is much more than code generation.



A usable language requires:



Consistent design decisions



Good tooling



Clear documentation



Reliable installation



Helpful diagnostics



Iteration and patience



The compiler itself is only one piece of the overall system.



What's Next?



Zen is stable, but there is still plenty to improve.



Planned future work includes:



Testing framework support (zen test)



Built-in examples (zen example)



Better diagnostics



Additional language features



Tooling improvements



Performance enhancements



Final Thoughts



This project started as an experiment and evolved through multiple iterations before becoming a complete system.



Creating Zen taught me more about compilers, tooling, architecture, and software engineering than I expected when I began.



If you're interested in programming languages, compiler development, or LLVM-based systems, I'd love to hear your feedback.



Links



Documentation: Zen Documentation



Website: Zen website



GitHub: github






programming #opensource #compilers #llvm #javascript

1. Sofort-Triage & Abwehrmaßnahmen

SOC Incident Playbook: Remote Code Execution (RCE) Defense
Syntax validiert (0 Fehler)
title: Detect Exploitation - How I Built My Own Programming Language from Scratch
id: f73bd969-c497-49ea-8b7e-e6edbab2185e
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 = "How I Built My Own Programming" 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 Built My Own Programming Language ")
| 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 Built My Own Programming Language *"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "How I Built My Own Programming Language "
| 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

🎯
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 Built My Own Programming Language .... 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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