ishowcode👨🏾‍💻

Engineer, Fisherman, Horse Jockey, Biker, Tinkerer, and Husband Material

[ishowcode👨🏾‍💻 @Tech_gawdd]

@ngaanyan I know

[ishowcode👨🏾‍💻 @Tech_gawdd]

@Munyah_Wacho @makosamunyaa All i see now

[ishowcode👨🏾‍💻 @Tech_gawdd]

@Munyah_Wacho @makosamunyaa Ndatoshaya pekutangira. Maybe, when is this “before” ? I mean, everything you mentioned there has always been done on the server side

[ishowcode👨🏾‍💻 @Tech_gawdd]

@makosamunyaa @Munyah_Wacho 😂😂😂

[ishowcode👨🏾‍💻 @Tech_gawdd]

@__Vigie Apa pane basa apa 😂

[Praveen Kumar Verma @Alacritic_Super]

If you are building AI agents that use the web, study Browser Use.

It's one of the most popular open-source frameworks for giving LLMs the ability to understand, navigate, and interact with websites using a real browser. Instead of relying on brittle scripts, Browser Use lets agents reason about web pages and perform multi-step tasks.

What you will learn:
🌐 Browser Automation
🤖 AI Web Agents
🧠 Computer Use Agents (CUA)
🖱️ DOM Understanding & Interaction
📄 Form Filling & Web Navigation
🔍 Information Extraction
🛠️ Tool Calling
🎯 Agent Planning & Reasoning
🔄 Playwright Integration
⚡ OpenAI, Anthropic & Local LLM Support
🔒 Browser Security & Authentication
📊 End-to-End Task Automation

Business use cases:
💼 Sales lead generation & CRM updates
🛒 E-commerce price & competitor monitoring
📑 Invoice, order & form processing
📈 Market & competitor research
📰 News and web intelligence gathering
🎧 Customer support automation
🏦 Financial & regulatory compliance checks
✈️ Travel search & itinerary automation
🏠 Real estate listing aggregation
👥 HR candidate sourcing & job application workflows
📊 Operations dashboard automation
🧾 Data entry across legacy web applications

📚 GitHub https://t.co/gGNZktd5jY

Study alongside:
✅ Model Context Protocol (MCP)
✅ OpenHands
✅ LangGraph
✅ Playwright
✅ Selenium
✅ Computer Vision
✅ AI Agents

[Praveen Kumar Verma @Alacritic_Super]

🤖 Robotics Components A–Z Every Robotics Engineer Should Know

A – Actuators
Convert electrical energy into motion. Examples: servo motors, BLDC motors, linear actuators.

B – Battery Management System (BMS)
Monitors battery health, charging, balancing, and protects against overcurrent and overheating.

C – Controller (MCU/CPU/SoC)
The robot's brain that processes sensor data and controls actuators.

D – Drive Motors
Generate movement for wheels, tracks, propellers, or robotic joints.

E – Encoders
Measure motor position, speed, and rotation for precise motion control.

F – Force/Torque Sensors
Detect force and torque for safe manipulation and human-robot interaction.

G – Gearbox
Increases torque and reduces speed using planetary, harmonic, or cycloidal gears.

H – H-Bridge / Motor Driver
Controls motor direction, speed, and braking using PWM signals.

I – IMU (Inertial Measurement Unit)
Combines accelerometers, gyroscopes, and magnetometers to estimate orientation and motion.

J – Joints
Mechanical connections that provide rotational or linear movement between robot links.

K – Kinematics
Describes how robot joints produce motion without considering forces.

L – LiDAR
Measures distances using lasers to build 3D maps and avoid obstacles.

M – Manipulator
A robotic arm designed to pick, place, weld, assemble, or inspect objects.

N – Navigation Module
Uses GPS, GNSS, SLAM, or sensor fusion to determine the robot's position.

O – Onboard Computer
Runs high-level software such as AI, computer vision, ROS 2, and planning algorithms.

P – Power Distribution Board (PDB)
Safely distributes electrical power from the battery to all robot components.

Q – Quick-Release Coupler
Allows tools or end effectors to be attached or replaced rapidly.

R – Robot End Effector
The tool attached to the robot arm, such as a gripper, suction cup, or welding torch.

S – Sensors
Provide environmental awareness through cameras, ultrasonic, ToF, pressure, temperature, or proximity sensing.

T – Transmission
Transfers mechanical power using belts, chains, gears, lead screws, or ball screws.

U – Ultrasonic Sensor
Measures distance by transmitting and receiving ultrasonic sound waves.

V – Vision System
Uses RGB, stereo, or depth cameras for object detection, navigation, and inspection.

W – Wheels / Tracks / Omni Wheels
Provide mobility depending on terrain, maneuverability, and application.

X – XBee / Wireless Module
Enables wireless communication between robots, sensors, and control stations.

Y – Yaw Mechanism
Controls rotation around the vertical axis for steering and orientation.

Z – Zero Position (Home Sensor)
Defines the robot's reference position for calibration and repeatable motion.

[Praveen Kumar Verma @Alacritic_Super]

If you are building embedded, IoT, or edge AI devices, learn Zephyr RTOS.

Zephyr is a scalable, open-source real-time operating system hosted by the Linux Foundation, designed for resource-constrained microcontrollers and modern embedded systems.

What you will learn:
⚙️ Real-Time Operating Systems (RTOS)
🧵 Multithreading & Scheduling
⏱️ Deterministic Real-Time Systems
📡 Device Drivers
🔌 GPIO, UART, SPI, I²C, CAN & USB
📶 Bluetooth LE, Wi-Fi, Thread & Matter
🌐 Networking (IPv4, IPv6, TCP/IP, MQTT)
🔒 Secure Boot & Trusted Firmware
⚡ Power Management
📦 DeviceTree & Kconfig
🛠️ Board Porting & Hardware Abstraction
🧠 Embedded C/C++ & Rust
🤖 Edge AI & TinyML
🧪 Testing & Continuous Integration

📚 Learning resources
Documentation — https://t.co/DizGX9dPcb
GitHub — https://t.co/jocxWgiyy9
Zephyr Samples — https://t.co/39GTYr7tn8
Nordic DevAcademy (Zephyr) — https://t.co/q1V4V0y20n
Golioth Zephyr Tutorials — https://t.co/6fsEIpe5Kh

Build projects like:
🤖 Robots
🏠 Smart Home Devices
📡 IoT Sensors
⌚ Wearables
🚁 Drones
🚗 Automotive ECUs
🏭 Industrial Controllers
🔋 Battery-Powered Devices

Zephyr has become one of the leading RTOS choices for modern embedded development, combining real-time performance, broad hardware support, security, and a strong open-source ecosystem.

@ZephyrIoT @linuxfoundation

[Praveen Kumar Verma @Alacritic_Super]

Want to learn FPGA for free?

Here are some of the best online resources:

📘 Courses
• NAND2Tetris — https://t.co/8HigIQGE2l
• MIT 6.205 Digital Systems Laboratory — https://t.co/j4XGziEDVi
• Intel FPGA University Program — https://t.co/PoF3Vwysje

🧠 Hands-on Learning
• Project F — https://t.co/RRDOLYlWt3
• FPGA4Fun — https://t.co/yhIznkQ0Y4
• ZipCPU — https://t.co/obd9BrpvZG
• Nandland — https://t.co/g2EcwqFSmV
• HDLBits (Verilog practice) — https://t.co/XqZ0CVWYlU
• ASIC-World — https://t.co/O5jV79Ts2d

🛠️ Open-Source FPGA Tools
• Yosys — https://t.co/FSaQ3Baw4C
• nextpnr — https://t.co/YQ3mhV2NUf
• Verilator — https://t.co/gCUxxSGlkB
• Icarus Verilog — https://t.co/qmwah6FwDc
• cocotb — https://t.co/sca2Pu5D4V
• LiteX — https://t.co/LI40JW6pIT

[Praveen Kumar Verma @Alacritic_Super]

Complete FPGA Engineer Roadmap ⚡🔧🔥

🧠 STEP 1: Learn Digital Electronics Fundamentals
✔ Logic Gates
✔ Boolean Algebra
✔ Combinational Circuits
✔ Sequential Circuits
✔ Finite State Machines (FSMs)

🛠 Concepts to Learn:
✔ Flip-Flops
✔ Registers
✔ Counters
✔ Timing Diagrams

⚡ STEP 2: Learn Computer Architecture
✔ CPU Fundamentals
✔ Memory Systems
✔ Instruction Pipelines
✔ Bus Architectures
✔ Parallel Processing

🛠 Concepts to Learn:
✔ Cache Memory
✔ RISC vs CISC
✔ Pipelining
✔ Interrupts

💻 STEP 3: Learn Hardware Description Languages (HDLs)
✔ Verilog
✔ SystemVerilog
✔ VHDL Basics
✔ RTL Design
✔ Testbench Development

🛠 Languages to Learn:
✔ Verilog
✔ SystemVerilog
✔ VHDL

🔬 STEP 4: Learn FPGA Design Flow
✔ RTL Design
✔ Synthesis
✔ Place & Route
✔ Timing Closure
✔ Hardware Debugging

🛠 Tools to Learn:
✔ Xilinx Vivado
✔ Intel Quartus
✔ ModelSim
✔ Verilator

🚀 STEP 5: Learn Advanced FPGA Design
✔ High-Speed Interfaces
✔ DDR Memory Controllers
✔ PCIe Basics
✔ Ethernet & Networking
✔ DSP Design

🛠 Technologies to Learn:
✔ AXI Protocol
✔ UART
✔ SPI
✔ I2C

🤖 STEP 6: Learn AI & Hardware Acceleration
✔ FPGA-based AI Inference
✔ Matrix Multiplication
✔ CNN Acceleration
✔ Edge AI Systems
✔ Hardware Optimization

🛠 Frameworks to Explore:
✔ Vitis AI
✔ OpenCL for FPGA
✔ FINN
✔ HLS (High-Level Synthesis)

☁️ STEP 7: Learn Embedded Systems & SoCs
✔ ARM + FPGA Systems
✔ Embedded Linux
✔ Real-Time Systems
✔ Device Drivers
✔ FPGA SoCs

🛠 Platforms to Learn:
✔ Zynq SoC
✔ PYNQ
✔ Petalinux
✔ Yocto Basics

🔥 STEP 8: Build Real Projects
✔ FPGA-based CPU Design
✔ AI Accelerator on FPGA
✔ Ethernet Packet Processor
✔ Image Processing Pipeline
✔ SDR (Software Defined Radio) System
✔ Edge AI Vision System

💡 The best way to become an FPGA Engineer:
👉 Learn Digital Logic → Master Verilog → Build FPGA Designs → Optimize Hardware → Accelerate Real-World Applications

[ishowcode👨🏾‍💻 @Tech_gawdd]

@ngaanyan Haa makatakura amai

[ishowcode👨🏾‍💻 @Tech_gawdd]

@ngaanyan Magaro makes up the 100kg

[ishowcode👨🏾‍💻 @Tech_gawdd]

@masibanda_ This is impressive

[ishowcode👨🏾‍💻 @Tech_gawdd]

@ngaanyan Hazvipinze paradiso izvi

[ishowcode👨🏾‍💻 @Tech_gawdd]

@MethembeThomas @_tongayichirisa What did he do

[ishowcode👨🏾‍💻 @Tech_gawdd]

@Astro_Marl @JacintaNgobese

[ishowcode👨🏾‍💻 @Tech_gawdd]

@ngaanyan 💀

[ishowcode👨🏾‍💻 @Tech_gawdd]

@JoshJ0hn @MurapaG 😂😂😂

[ishowcode👨🏾‍💻 @Tech_gawdd]

@ngaanyan Hope arikuzviona

[Kirk Borne @KirkDBorne]

Understanding #DeepLearning (download 541-page PDF eBook): https://t.co/Z3ZjaEnk2m by @SimonPrinceAI
——————
#BigData #DataScience #AI #ML #MachineLearning #NeuralNetworks #ReinforcementLearning #NLProc #ComputerVision #Algorithms #DataScientists #mathematics