Izzi Developers designs and builds fast, structured software applications. We utilize language architectures including Rust, Go, C++, Python, and TypeScript to ensure low resource consumption and clean runtimes.
$ ./check_runtimes.sh
# Evaluating compilation environments...
Python Runtime, Asyncio Pipelines ... ACTIVE
Status: Operational across targeting engine
We maintain strict performance standards utilizing the correct programming languages for the problem.
Developing using the optimal tools for each case, whether compiling memory-safe Rust binaries, structured C++ cores, quick Python utility wrappers, or concurrent Go services.
Utilizing multi-threaded structures, async event-driven loops, and secure process worker systems to prevent user interface lag and handle fast computation.
Prioritizing modular architectures and native packaging to minimize bloating, resulting in self-contained and easily deployable applications.
We maintain and support this focused utility application constructed to process transcode operations safely and rapidly.
A high-performance desktop video converter designed to transcode files and optimize media assets. Built entirely in Python, it utilizes asynchronous task orchestration to bypass interface lag while preserving detailed execution logs.
[SYSTEM READY]: Loaded compilation environments.
[STANDBY]: Configured options ready for execution check.
Hand off a task in plain language and watch the agent read your repository, write the change, run it, and report back — no editor tab required.
Describe the feature, bug, or refactor you need. The agent plans its own steps, edits the relevant files, executes tests, and hands you a reviewable result — you stay the reviewer, not the typist.
"Fix the race condition in the queue worker and add a regression test."
Located worker/queue.go and traced the shared-state access
Wrapped the critical section with a mutex
Wrote queue_race_test.go to reproduce the failure
Running test suite…
worker/queue.go
- go processNext(item)
+ mu.Lock()
+ defer mu.Unlock()
+ go processNext(item)
ok izzi/worker 0.412s
4 tests passed, 0 failed
Agent ready for review at agent.izzidevelopers.qzz.io
A private Linux sandbox that lives inside one Telegram chat. Send a message, a photo, or a voice note — the bot's AI reads it, decides what needs doing, and actually does it, inside a Linux directory and shell that belong only to you.
An AI model reads your message, picks exactly one tool, and runs it inside your own persistent sandbox — python3, pip, node and npm are already installed. Real output, real errors, nothing simulated — the loop repeats until it has something worth telling you.
"Unzip the dataset I sent, clean the CSV, and start a web app to browse it."
Extracted dataset.zip into your sandbox directory
Cleaned records.csv with pandas and saved the result
Started a local Flask app on port 5000
Opening a public tunnel…
Slash commands
/shell <cmd> — run one command
/expose <port> — get a public URL
/files [path] — list your sandbox
tunnel established
public URL ready
App live — no deployment step required
The software developers coordinating our architectural frameworks and product distributions.
Undergraduate @ University of Moratuwa, Sri Lanka
Frontend / Full-Stack Developer
Guides systems infrastructure and interactive integrations. Designs multi-language modules and handles asynchronous pipelines to maintain stable application builds.
Systems & Performance Programmer
Back-End Core & Executable Deployment
Manages cross-compilation processes, native desktop layouts, and core multi-threaded systems. Directs profiling to keep execution fast and predictability consistent.