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About Logeshwaran
I am an experienced AWS Full Stack Developer with expertise in building scalable, cloud-native applications using a wide range of technologies, including AWS, Angular, Java, Node.js, Python, Terraform, Docker, and TypeScript. With a strong focus on delivering high-performance solutions, I specialize in leveraging AWS services for cloud architecture, creating dynamic front-end interfaces, and building efficient back-end systems. I have hands-on experience in automating infrastructure with Terraform, containerizing applications using Docker, and implementing DevOps best practices.
Code Generation with LLMs: Structured Output, AST Manipulation, and Avoiding Hallucinated APIs
Posted inAI & Developer Tools

Code Generation with LLMs: Structured Output, AST Manipulation, and Avoiding Hallucinated APIs

Reliable LLM code generation goes beyond prompting. Structured output schemas, AST validation, compilation checks, and test execution create a generation pipeline where hallucinated APIs and broken syntax are caught automatically.
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Claude Code: The Developer Workflow That Replaces 80% of Manual Coding Tasks
Posted inAI & Developer Tools

Claude Code: The Developer Workflow That Replaces 80% of Manual Coding Tasks

Claude Code is a terminal-based agentic coding tool that reads your codebase, writes and runs code, and executes shell commands. These are the developer workflows that replace the most time-consuming manual tasks.
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Vibe Coding: The Professional Developer Guide to Cursor, Claude, and Copilot
Posted inAI & Developer Tools

Vibe Coding: The Professional Developer Guide to Cursor, Claude, and Copilot

Vibe coding is real, productive, and absolutely can produce unmaintainable garbage if you do not know the rules. This is the professional developer guide to Cursor, Claude, and Copilot workflows that actually produce clean, shipping code.
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AI Agent Frameworks in 2025: LangGraph vs CrewAI vs AutoGen vs Raw API
Posted inAI & Developer Tools

AI Agent Frameworks in 2025: LangGraph vs CrewAI vs AutoGen vs Raw API

LangGraph, CrewAI, AutoGen, and raw API each make different trade-offs between control and abstraction. This comparison covers real production considerations — reliability, debuggability, cost, and when each wins.
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Multi-Agent Systems: How to Build Agent Teams That Do Not Hallucinate Each Other Into Failure
Posted inAI & Developer Tools

Multi-Agent Systems: How to Build Agent Teams That Do Not Hallucinate Each Other Into Failure

Multi-agent systems fail in specific ways that single-agent systems do not. Circular delegation, hallucinated inter-agent results, unchecked output propagation, and exponential token costs are the failure modes that catch every team.
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Building Production AI Agents: Tool Calling, Memory, and Orchestration That Actually Work
Posted inAI & Developer Tools

Building Production AI Agents: Tool Calling, Memory, and Orchestration That Actually Work

Production AI agents go beyond single LLM calls. Tool calling, persistent memory, multi-step reasoning, and proper orchestration separate demos from systems that run reliably in production.
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Lambda Cold Start Profiling: Find Exactly What Is Slow With LLRT and Init Tracing
Posted inAWS

Lambda Cold Start Profiling: Find Exactly What Is Slow With LLRT and Init Tracing

Total cold start time is not enough — you need to know which import, module, or connection is responsible for each millisecond. LLRT benchmarks, X-Ray init tracing, and lazy loading reveal the exact bottleneck.
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Lambda Container Images vs ZIP: When Containers Win and When They Do Not
Posted inAWS

Lambda Container Images vs ZIP: When Containers Win and When They Do Not

Lambda container images up to 10GB unlock PyTorch, large binaries, and custom runtimes impossible with ZIP. But ECR layer caching changes cold start behavior in ways most teams misunderstand. Here is when containers win.
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Provisioned vs Reserved vs SnapStart Concurrency: Which Lambda Control to Use When
Posted inAWS

Provisioned vs Reserved vs SnapStart Concurrency: Which Lambda Control to Use When

Provisioned Concurrency eliminates cold starts at $14/month per unit. SnapStart gives 96% of that benefit for Java at zero cost. Reserved Concurrency prevents throttling but does not warm instances. Here is exactly when to use each.
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Step Functions Express Workflows: Orchestrate Lambda at 100K Events Per Second
Posted inAWS

Step Functions Express Workflows: Orchestrate Lambda at 100K Events Per Second

Step Functions Express Workflows run at 100K+ executions/second at $0.000001 per state transition — 25,000x cheaper than Standard at scale. The right orchestration layer for high-volume Lambda event processing and ETL pipelines.
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