AI Agent Development Skills: Tools, Memory, and Orchestration
Learn practical AI agent development skills in 2026 using Pydantic AI and LangGraph: typed tool schemas, dependency injection, state reducers, and loop bounds.
The Technical Library · 326 Publications
Ideas, tested & explained with care.
An extensive library of technical guides, valuation models, AI implementation patterns, and automotive economics. Written for engineers, analysts, and founders who care about verifiable mechanics over surface-level commentary.
326 Published Guides
4 Core Pillars (Technology, Finance, Auto, Product)
100% Original Analysis & Implementations
362 articles found
Agentic Coding: Can AI Build, Test, and Deploy an Entire Application?
Compare inline AI autocomplete with autonomous coding agents in 2026. Learn how terminal agents build, test, debug, and open PRs safely under CI/CD controls.
AI App Builders vs Traditional Development: What Should Startups Use?
Compare AI app builders ('vibe coding') with traditional software engineering Using Next.js and Payload/Strapi in 2026: speed, technical debt, security, and ownership.
AI Benchmark Wars: Why a Higher Benchmark Score Does Not Guarantee a Better Model
Learn why public AI leaderboard scores fail in production in 2026: benchmark contamination, Goodhart's Law, LLM-as-a-judge bias, and building private eval suites.
AI Call Centres and Virtual Receptionists: How Voice Agents Are Changing Customer Operations
Architect enterprise AI call centres and virtual receptionists in 2026: replace rigid DTMF IVRs using LiveKit Agents, Pipecat, Bolna, CRM MCP tools, and warm handoffs.
AI Coding on a Low-RAM Laptop: Quantization, Local Models, and Cloud Alternatives
Practical guide to AI coding on an 8GB or 16GB RAM laptop in 2026: select Q4_K_M coding SLMs (1.5B–7B), optimize llama.cpp KV cache, and use hybrid cloud CLI agents.
AI Content Pipelines: Automating Research and Drafting Without Publishing Spam
Build anti-spam AI content pipelines in 2026: implement multi-stage source verification, claim-to-URL grounding, semantic deduplication, and editorial gates.
AI Cybersecurity in 2026: Can Autonomous Agents Find and Exploit Software Vulnerabilities?
Examine how autonomous AI security agents find, validate, and patch software vulnerabilities in 2026 using OpenAI Codex Security, Garak, and sandboxed fuzzing.
AI Engineering Jobs in India: Which Skills Are Employers Looking For in 2026?
Discover the exact technical skills Indian startups, GCCs, and enterprises require for AI Engineering roles in 2026: RAG, LangGraph agents, evals, vLLM, and FastAPI.
AI-Generated Evidence and Legal Documents: Why Provenance and Disclosure Matter
Understand the risks of hallucinated citations, synthetic evidence, and electronic record provenance under India's Bharatiya Sakshya Adhiniyam (BSA) and IT Rules.
AI-Generated Pull Requests: How to Review Code Written by Autonomous Agents
A practical engineering guide to reviewing AI-generated pull requests in 2026: spot subtle logic bugs, tautological tests, security flaws, and architectural drift.
AI Governance in India: What Businesses Need to Know About Emerging Rules
Understand India's 2026 AI governance landscape: separate binding law (DPDP Act 2023, DPDP Rules Nov 2025, IT Rules Amendment Feb 2026) from MeitY's 7 Sutras.
AI in Indian Banking and Fintech: Fraud Detection, Underwriting, and Customer Support
Learn how Indian banks, NBFCs, and fintechs deploy AI in 2026 under the RBI FREE-AI framework: UPI fraud detection, Account Aggregator underwriting, and explainability.