Spring AI: The Senior Dev's Honest Take on Java's AI Moment
TL;DR Spring AI is an official Spring project that integrates AI models into Java using familiar patterns: auto-configuration, dependency injection, a…
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BrowserAct Hands-On: Real Browser Automation from the CLI
A few days ago, I received an email from the BrowserAct team after they came across one of my articles. They introduced BrowserAct as a browser automa…
Pre-launch AI simulations are becoming the new model safety check
The next serious upgrade in AI safety may not look like a bigger warning label. It may look like a rehearsal. OpenAI published new work this week on p…
I Failed a Python Interview Because I Could Write Code But Not Read It
I want to tell you about the most embarrassing 45 minutes of my developer career. I had been practicing LeetCode for three months. Easy problems, done…
Ollama Structured Outputs in Practice — Getting Type-Safe JSON from Local LLMs with Pydantic
json.loads(response) fails at a certain point. You told the model "return JSON only," but it added a ```json markdown code fence around everything. A …
Startup Security Guide & LLM CISO
An open-source security guide, compliance checklist, and LLM-based virtual CISO persona for startups -- with specialized coverage for foreign companie…
Fire-and-forget AI engineering: letting agents ship a production app unsupervised
"An AI agent just built a production landing page, with GDPR audit logs and encryption baked in. I wasn't even at my desk." That is not a lucky one-sh…
Claude Code in Production: The Guardrails Nobody Talks About (Until Something Leaks)
Your Claude Code session just spit out a perfect PR description, refactored three services, and drafted commit messages for the entire sprint. Clean. …
Retrieval‑Augmented Memory Reduces Sliding‑Window Limitations in Video Models
VideoMLA’s low‑rank latent KV cache cuts KV‑cache demand by roughly 90 % and LongLive‑RAG’s retrieval‑augmented memory helps mitigate the temporal dri…
From ML Tooling to Analytical Governance: Recent Updates to KMDS
Over the last few months I've been refining KMDS, a framework for building repeatable and auditable machine learning systems. The original motivation …
SpaceX Acquires Cursor Maker Anysphere to Build an AI Coding Agent Model
SpaceX's acquisition of Anysphere, the maker of Cursor, signals a major shift in how we build software. Coding agents started as simple helper panels …
Block the Merge if the Model Isn't Ready": Shifting Local AI Evaluations Left with CI Gates
We’ve all heard "it works on my machine," but when it comes to AI-driven features, that phrase is a recipe for disaster. You can have a perfectly test…
AI Made Development Faster. Testing Needs to Stop Living in Spreadsheets.
AI agents are making software development faster. That is great. But there is a problem I do not think we are talking about enough: testing is not spe…
I Stopped Using Heavy IDEs. AI Became My IDE.
I used to think a serious developer needed a serious IDE. Big project? Open PhpStorm. Design work? Open Photoshop. Need every refactor, every inspecti…
IRUTESAM V1.0 – A Cost-Effective IoT-Based Multi-Testing Device Using ESP32
Introduction Modern embedded development and wireless testing often require multiple specialized tools for analyzing Wi-Fi networks, testing NFC cards…
Why Google’s Open Knowledge Format Matters for Developers and Content Creators?
Most teams don’t suffer from a lack of data. They suffer from a lack of shared context. Definitions, caveats, ownership, and “how to use this safely” …
What Does "Code Accuracy" Mean When AI Builds Your App?
When a non-technical founder asks whether an AI app builder produces "accurate" code, they usually mean one thing: does it run without crashing? That …
Tokenization under the hood: BPE, WordPiece, SentencePiece, and Unigram compared
Tokenization under the hood: BPE, WordPiece, SentencePiece, and Unigram compared You deploy a chatbot. English queries average 42 tokens each. Then a …
Beyond the Agentic Loop, in TypeScript: building a shopping agent with the Orchestrator pattern
This post is a TypeScript implementation of the pattern described in "Beyond the Agentic Loop: The Orchestrator Pattern for Multi-Agent Systems" by Am…
AI Research Engineer Open-Sources His Entire Workflow and Prompts
Fable 5 came and went. And because it was taken away so quickly, developers wanted it back even more. Scarcity has a way of making things feel more va…
Enterprise AI Agents Are Leaving the Server | Focused Labs
Enterprise AI agents are leaving the server boundary. A boundary that looks deceptively small until the agent starts acting on behalf of a person insi…
AI Agent Cost Is a Runtime Signal | Focused Labs
AI agent cost management fails when cost is treated as a monthly bill as opposed to a runtime signal. A coding agent spends money differently than a b…
Comparing LLM Models: A Technical Deep Dive
I needed a fast, repeatable way to compare production-grade open models before routing traffic to them. In this post, I will walk through a lightweigh…
Cutting My AI Bill by 60%: A Freelancer's Context Window Diary
Cutting My AI Bill by 60%: A Freelancer's Context Window Diary Look, I'll be honest with you. Six months ago I was hemorrhaging money on API calls. No…
AI Evals, Part 3: Golden Datasets That Dont Lie
Part 3 of a series on building production AI on .NET. Part 1 was the overview; Part 2 was error analysis. Now we turn the failure taxonomy you built i…
Common Pitfalls Building Email Agents (and Fixes)
A team ships their first email agent on a Thursday. Demo went great, handler's deployed, webhook's registered. Friday morning the on-call wakes up to …
Building AI agents with LangChain
LangChain agents are built on LangGraph : the model calls tools in a loop until it returns a final answer. The high-level entry point is createAgent -…
Best LLM Models for Conversational AI in Language Learning
We are going to build a conversational language tutor that corrects mistakes in real time, adapts its complexity to your proficiency, and maintains co…
Reducing LLM Costs: Best Practices and Techniques
LLM costs accumulate in ways that are not always obvious. Tokens consumed by system prompts, repeated context windows, and verbose JSON outputs all in…
Stop letting the prompt be your state machine
Stop letting the prompt be your state machine You shipped an LLM feature six months ago. Now the same user input produces wildly different outputs dep…