nitishagar

108 ms·

1.
An AI agent is a background job, not a web request(nitishagar.medium.com)
2 points by nitishagar 1mo ago|0 comments
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Cost-per-success, not cost-per-call: the LLM routing number nobody measures(nitishagar.medium.com)
3 points by nitishagar 2mo ago|0 comments
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Opus, Sonnet, Haiku: Stop Optimizing the Wrong Number(medium.com)
2 points by nitishagar 4mo ago|0 comments
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Production MCP Patterns, Part 2: The Agent Stack Grew Up(medium.com)
2 points by nitishagar 6mo ago|1 comments
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by nitishagar 6mo ago
From progressive tool discovery to the new three-layer architecture, here’s how the Model Context Protocol evolved for 2026.
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The Zero-Code Security Team: Shifting Left with Prompt-Native AI Agents(godaddy.com)
1 points by nitishagar 6mo ago|0 comments
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by nitishagar 7mo ago
Is AI writing tests that protect bugs? Why TDD and Hexagonal Architecture are the only ways to ground AI-generated code.
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by nitishagar 7mo ago
I built SoberAI because I kept seeing the same problem: AI crawlers (GPTBot, ClaudeBot, PerplexityBot) don't execute JavaScript. Your React SPA is literally a blank page to them. There was no tool to audit for this — so I made one. Sob
9.
by nitishagar 8mo ago
I wrote about "Agentic Debt" and the new OWASP LLM07:2025 classification. The industry is finally converging on a standard: Prompts are not secrets or config.
10.
by nitishagar 9mo ago
Slash incident response time by 40%. Explore multi-agent patterns and RAG strategies used by Netflix, Uber, and Microsoft to automate Ops.
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by nitishagar 9mo ago
LLM agents break deterministic tests. Evaluation-Driven Design helps teams reduce hallucinations.
12.
by nitishagar 1y ago
The AI revolution just flipped: small AI models could redefine impact while using 70x LESS energy and costing 1,000x LESS to deploy. In my new article I explore why compact AI might be the future.
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by nitishagar 1y ago
"Orchestration Outperforms Monolithic Agents" I try to dive into how Salesforce BOLAA system can help you build efficient and reliable systems cheaper.
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by nitishagar 1y ago
The myth of the 10x engineer is becoming a reality, but the engineer isn’t human. It’s an AI agent, and your job is to become its conductor.
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by nitishagar 1y ago
Building in AI? Decide if you're shipping the "picks & shovels" (MCP server platform) or the "gold" (AI Agent) – your strategy depends on it! #AI #ProductStrategy #MCP #AIAgents #TechInnovation
16.
by nitishagar 2y ago
Discover how Agentic AI is shifting digital accessibility from reactive fixes to proactive, built-in inclusion for everyone.
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by nitishagar 2y ago
In this recent article, I explore the contrasting approaches of core AI technology providers, from the broad capabilities of foundation models to the precision of vertical AI solutions.
18.
by nitishagar 2y ago
The article examines how DeepSeek serves as a catalyst for companies to explore cost disruption through AI tools and augmentation.
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by nitishagar 2y ago
My latest article explores the potential of TPUs, NPUs & more, and whether you should be looking beyond the cloud. #AI #Hardware #Innovation #Tech #ArtificialIntelligence
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by nitishagar 2y ago
I just published story on how AI content boom demands ethical approaches – have a read! https://link.medium.com/nCMmoZj08Pb #AI #EthicsInAI #TechEthics #GenerativeAI #AIContent
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by nitishagar 2y ago
My take on building killer customer support AI: ditch the complexity, embrace smart simplicity! Sharing my insights after diving into the latest strategies for #LLMs and #ConversationalAI in #CustomerSupport.
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by nitishagar 2y ago
Thoughts on state of security in customer support and why it needs a makeover now.
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by nitishagar 2y ago
#APIGovernance #AIIntegration #EngineeringLeadership #APIDevelopment #AIinAPIs This piece explores the impact of artificial intelligence on API governance and examines potential AI applications for enhancing the developer experience.
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by nitishagar 2y ago
The future of AI isn’t about building bigger models; it’s about improving the quality of data. In the article below, I highlight key areas to explore beyond just model size.
25.
Application Templates(leaddev.com)
1 points by nitishagar 2y ago|0 comments
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by nitishagar 3y ago
Gen AI is a powerful tool that can help businesses provide better customer service at scale. By automating tasks, providing real-time support, and personalizing interactions, Gen AI can help businesses improve efficiency, increase productiv
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by nitishagar 3y ago
While other industry players have certainly seen significant advancements, AI stands out as being on an accelerating trajectory fueled by a potent combination of big data, computing power, and algorithmic breakthroughs.
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by nitishagar 3y ago
Prioritize accessibility, leveraging the power of AI, helps us pave the way for a more inclusive digital future, where every user can experience the full potential of mobile apps, regardless of their abilities.
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by nitishagar 3y ago
TL;DR: To unlock the true potential of LLMs for business success, augment them with domain-specific knowledge using techniques like few-shot prompting, fine-tuning, bootstrapping, reinforcement learning, and knowledge graph integration. Com
30.
by nitishagar 3y ago
Short discussion around Multi-Model Paradigm, Rise of Multi-Agent Architectures and Ethical AI Ecosystem.

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