AI
OpenAI Mathematical Proofs: o1 Model vs Hugo
OpenAI's o1 model uses reasoning tokens and reinforcement learning to solve competition-level geometry problems, yet struggles with the probabilistic rigor that earned Hugo Duminil-Copin…
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Nilesh Raut
’m Nilesh, a Software Development Engineer with 2+ years of experience, specializing in Go, JavaScript, Python, Docker, Kubernetes, Git, Jenkins, microservices, and system design (LLD/HLD), backed by a strong foundation in data structures and algorithms. Alongside my engineering journey, I bring 4+ years of hands-on experience in SEO, where I’ve worked extensively on content strategy, keyword research, technical SEO, and organic growth, helping products and businesses scale efficiently by aligning solid technology with search-driven performance.
557 articles
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System Desgin
Creating a Dedicated Agent GUI with Streamlit and Claude Desktop (2026)
When I first tried to cobble a Claude 3.5‑Sonnet “computer‑use” agent together with a simple CLI wrapper, the experience felt like driving a race car…
AI
Event Sourcing vs CRUD for AI Agents: 5 Benefits (2026)
A RAG bot hallucinated after its mutable CRUD store wiped vital context. Event Sourcing vs CRUD gives immutable logs, instant replay, and reliable AI…
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AI
Claude AI GUI Agent: Build a VSCode Assistant (2026)
CLI‑only AI bots leave you guessing. The Claude AI GUI agent streams thoughts, shows live VSCode feedback, and lets you cancel risky commands with…
System Desgin
Microservice vs Monolith: 5 Decision Tips (2026)
A production outage exposed why choosing Microservice vs Monolith matters for workflow automation. Discover trade‑offs and how to avoid costly latency in 2026.
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System Desgin
Secure File System Access for Claude Agents (Sandboxing & Permissions Guide)
When Claude starts asking for *read* or *write* permissions on your hard drive, the first thing you should feel is a spike of anxiety.…
kubernetes
Zero-Trust Service Mesh: 5 Strategies to Secure (2026)
A stale SPIFFE cert knocked our mesh offline. Zero‑trust service mesh forces mTLS on every hop, giving automatic identity, encryption, and instant remediation.
AI
Speculative decoding threshold tuning for code generation
Configure speculative decoding acceptance thresholds to optimize code generation throughput and prevent costly inference latency regressions.
AI
Semantic cache invalidation strategies for multi-turn AI
Implement production-ready semantic cache invalidation strategies that evict stale entries within 50ms of intent shift detection for multi-turn conversations.
AI
AI gateway rate limiting: token bucket vs sliding window
Implement dual-dimensional rate limiting for AI gateways to handle TPM and RPM limits while preventing 429 errors during traffic spikes.
AI
LangGraph checkpoint serialization: SQLite vs PostgreSQL
Deploy the correct LangGraph checkpoint backend by comparing SQLite and PostgreSQL performance, migration steps, and failure recovery strategies.
AI
Vector temporal indexing for AI agent memory retrieval
Implement time-decayed retrieval to fix agent hallucination errors by weighting recency and relevance in vector databases for accurate episodic memory.
AI
RadixAttention memory layout strategies explained
Diagnose GPU OOM errors and low cache hit rates by comparing contiguous vs paged KV cache layouts for LLM inference workloads.
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Backend Dev
MCP server error handling: JSON-RPC protocol guide
Build robust MCP servers that emit correct JSON-RPC error objects, recover from transport failures, and log diagnostically useful context without leaking data.
AI
Speculative Decoding LLaMA Speedup Measurement
Construct a reproducible benchmarking harness to measure speculative decoding speedup using wall-clock time and valid statistical sampling methods.
AI
KV cache offloading NVMe: vLLM vs TensorRT-LLM
Compare vLLM and TensorRT-LLM KV cache offloading architectures to select the correct system for your latency constraints and deploy long-context models confidently.
AI
Redis eviction policies for LLM semantic caches
Configure Redis eviction policies to align memory pressure with LLM token consumption patterns and reduce API costs.
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AI
Agent tool retry pattern with exponential backoff
Implement retry logic with exponential backoff and idempotency keys to prevent duplicate side effects in your AI agent tool calls.