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Showing posts with the label AI Coding Agent

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Cost of AI-Driven Development

on May 03, 2026

AI Coding Agent AI SDLC Claude Code LLM programming SDLC

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Pro-Grade Java Development in Claude Code - Beyond Grep with LSP

on April 21, 2026

AI Agent AI Coding Agent Claude Code

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Beyond Grep: Master ripgrep Performance in Claude Code

on April 19, 2026

AI Agent AI Coding Agent Claude Code ripgrep Ubuntu

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Break Claude Code's Walled Garden To Use Any LLM

on April 18, 2026

AI Agent AI Coding Agent AI Gateway AIOps Bitfrost Claude Code Claude Code Router (CCR) Groq Helicone LiteLLM LMStudio Ollama OpenRouter

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Claude Code Router for Claude Code

on April 17, 2026

AI Coding Agent AI Gateway Claude Code Claude Code Router (CCR)

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Building a Pro Status Line for Claude Code

on April 16, 2026

AI Coding Agent Claude Code

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Demystifying Memory in Claude Code

on March 19, 2026

AI Coding Agent Claude Code

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Understanding Session in Claude Code

on March 18, 2026

AI Coding Agent Claude Code

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Escaping the expert sharks and cruising over the hype of GenAI waves

on August 17, 2025

AI Agent AI Coding Agent continuous learning Gen AI

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The Truth About AI Coding Agents

on April 09, 2025

AI Agent AI Coding Agent Engineering Leadership Gen AI GenAI SDLC

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Understanding the WSL2 Mirrored Networking Conflict

When optimizing your development environment on Windows, you might encounter a frustrating "silent failure" where Docker containers appear to run but remain unreachable via their assigned ports. This conflict typically stems from how WSL2 and Docker Desktop negotiate network traffic. (I had been through this when I tried to set-up my development environment for ReactNative/Expo application in Docker container.) The Architecture: Mirrored vs. NAT By default, WSL2 uses Network Address Translation (NAT). In this mode, WSL2 lives behind a virtual switch with its own IP address. While reliable, it adds a layer of complexity for local networking. (Spoiler Alert: I resorted to this legacy convention for reliability reasons, at the time of this writing having latest stable version of Docker Desktop). Reasons: Good default for general, isolated development; avoids complex network setup. Downsides: Requires port forwarding to access localhost services from Windows; VPNs can brea...

Fix for Ollama Issue on Windows 11 where it doesn't connect

If you are using Ollama on Windows 11 machine and are encountering the error below: Error: Head "http://0.0.0.0:11434/": read tcp 127.0.0.1:61593->127.0.0.1:11434: wsarecv: An existing connection was forcibly closed by the remote host. Then it is likely that your previous force closure of Ollama left an abandoned process connecting to the said port - 11434. Unfortunately, at least in my case, this process didn't vanish even when I restarted the system that sure troubled me much. The fix that worked for me was to identify the process-id of that rogue/abandoned process and kill it by its process-id. This is done in Windows Powershell (having admin privileges) like below: Find process-id using the command ` Get-NetTCPConnection -LocalPort <port_number> | Select-Object -ExpandProperty OwningProcess ` where you replace the <port_number> with actual port (11434 in this case) and this command outputs the PID of the process. ...

Beyond Grep: Master ripgrep Performance in Claude Code

If you’ve ever wondered why modern AI coding agents like Claude Code (CC) feel so "aware" of your codebase, the secret often lies in a small, incredibly fast tool called ripgrep (rg) . ripgrep is a line-oriented search tool that recursively searches your current directory for a regex pattern. It combines the raw speed of C with the safety of Rust. It is faster than almost every other search tool because it is built on top of Rust’s regex engine, which uses finite automata, SIMD, and aggressive literal optimizations to make searching very fast. It is the engine that allows Claude to "read" your project in milliseconds. Most importantly for developers, ripgrep respects your `.gitignore` . It won't waste time searching through your `node_modules` , `.git` , or build artifacts, ensuring that Claude only sees the code that actually matters. There are 3 distinct ways Claude can utilize this tool? Depending on your codebase size ...

Multi-tenant Architectures

Multi-tenancy Application Deployment Architecture could be modeled in 4 broad ways: Separate Apps & Separate Databases Shared Apps & Shared Databases Separate Apps & Shared Databases Shared Apps & Separate Databases There is no right or wrong here. It's about choice and consequence that you should consider taking into your business context and constraints. In this post I intend to jot down a some key points to keep in mind for each of these multi-tenant architecture. These are more of quick notes for my quick reference, a cheat-sheet of sorts when I have to make choices. And I guess this can come handy to you too in your wise decision making. Separate Apps & Separate Databases Easiest to implement from development and deployment stand-point. Just automate the deployment infrastructure for every tenant for quick set-up. Most expensive of all the models from infrastructure cost stand-point. Relatively longer deployment t...

A tale of a lone Zen Developer among Code Factories

This post is a sequel to my earlier post - Embrace and Evangelize Zen Coding . The earlier post paints a picture of who a Zen developer is. But who are Code Factories? Code Factories are those developers that take pride in churning lots and lots of code, bloating the product with features and bugs, with the vested interested of becoming a team's irreparable liability.

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