Tag

#AI

28 posts

01September 9, 2026Redis 8: Cache, Vector Search, and Semantic CachingRedis stopped being just a cache. Redis 8 folded the Query Engine into core, shipped a native vector data type, and Redis Cloud added a managed semantic cache. This post maps all three layers to the exact version that supports them, with the caveats nobody puts in the marketing page.
02August 26, 2026The Billable Hour Is Dead — AI Unbundled India's $315B IT IndustryTCS runs 80% of its business-services contracts on outcomes, five-year deal values shrank up to 35%, and a 500-person migration now prices at 50 people. The hourly billing model isn't being discounted — it's being taken apart layer by layer.
03August 24, 2026AI Agents: A Practical Guide to Autonomous SystemsExplore the core components of AI agents, avoid common pitfalls, and implement a reliable system using proven patterns.
04August 20, 2026The Agentic Loop: When AI Should Think, Act, and LoopEvery AI system you rely on — scripts, watchdogs, coding agents, Grok bots — runs the same core loop: observe, decide, act, verify. This post breaks down that loop, the two ways to put a human around it, and a practical framework for deciding when an agentic loop earns its cost and when a plain script wins.
05August 19, 2026The AI Employee Era: Build Your Own AI TeamA practical roundup of this week's biggest AI moves — from AI bots that act like real teammates to coding models that undercut the leaders — plus a step-by-step guide to building your own AI employee in minutes.
06June 17, 2026Why AI Hasn't Replaced Engineers — And Won't Anytime SoonAI writes most of the code now, layoffs are running at over 1,000 a day, and execs are saying they hired zero new engineers this year. Yet companies are quietly rehiring the same people they let go, agents that score 80% on SWE-bench drop to 12% on real industrial tasks, and the scarce resource has shifted from typing to judgment. This is a data-backed breakdown of why the discipline survives even as the job changes.
07April 2, 2026Claude Code Best Practices: 10 Things Every Developer Should KnowMost developers fire up Claude Code, ask it to write some code, and call it a day. But the teams getting 10x results are doing things very differently. This post breaks down how Claude Code actually works under the hood, the best use cases, and 10 battle-tested practices straight from the people who build it.
08November 5, 2025TOON vs JSON: Supercharge Your LLM Prompts & Cut Token CostsToken-Oriented Object Notation (TOON) is a compact, LLM-optimized alternative to JSON for serializing structured, mostly flat/tabular data. By removing repeated field names, quotes and redundant punctuation, TOON reduces token usage by roughly 30–60% in real-world AI workflows, leading to lower API bills, larger usable context windows, and often better model retrieval accuracy.

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