Insights on AI development, AWS solutions, and software engineering best practices
I paid USD 12,900 to spend five days at MIT Sloan Executive Education with 28 other executives. What the week actually covered, the research on AI and teams I have not stopped thinking about, and who should not sign up.
The Model Context Protocol dropped sessions, the initialize handshake, and server-initiated requests. It is the fifth spec revision and the first one that rewrites how an MCP server is deployed rather than what it can do. Here is what actually changed, how the market and the security researchers are reading it, and what it means if you build or buy MCP servers.
Most nearshore guides are written by staffing agencies selling headcount. Here's what a Brazilian AI consultancy actually sees when companies try to nearshore AI development, and why the model that works for generic software often fails for AI.
NVIDIA announced open-source software for autonomous enterprise AI agents at GTC 2026. Here is what the Agent Toolkit includes, what it means for production deployments, and how it connects to the LangChain ecosystem.
I paid USD 12,900 to spend five days at MIT Sloan Executive Education with 28 other executives. What the week actually covered, the research on AI and teams I have not stopped thinking about, and who should not sign up.
The Model Context Protocol dropped sessions, the initialize handshake, and server-initiated requests. It is the fifth spec revision and the first one that rewrites how an MCP server is deployed rather than what it can do. Here is what actually changed, how the market and the security researchers are reading it, and what it means if you build or buy MCP servers.
Both AI stores reshaped themselves in July 2026. Getting listed is no longer about whether your server works; it is a metadata and honesty exam that most teams fail on the first attempt for reasons they could have fixed in an afternoon. Here is what reviewers on each side test, what gets rejected, and how to compress the timeline.
Unity shipped a standalone CLI, an experimental Pipeline package, and a live C# REPL into a running Editor. Together they close the feedback loop Unity AI could not, and they make a class of studio automation practical to maintain for the first time. Here is what works, what is still broken in beta, and why the pattern that wins is a tailored MCP layer built on top of it.
How we built an autonomous AI pipeline for game development: from a one-paragraph brief to a designed, built, and tested feature running inside a live Unity game. An LLM agent on the Claude Agent SDK drives Model Context Protocol tool servers for Unity, Blender, Figma, and Scenario, behind a human approval gate and five independent layers of verification.
If you make decisions about AI but have never actually used the tools, you are guessing. The cost of fixing that is twenty dollars and a free weekend.
Unity AI hit open beta on May 4, 2026. We spent two days using it. Here is what is inside it, what it costs, why the early reception has been mostly negative, and why a custom agent pipeline built on Claude Code and MCP still beats it for serious studios.
How mobile gaming studios can apply AI to user-facing content, game economy and monetization, and internal engineering. Practical use cases drawn from years of running data and AI at Wildlife Studios across titles like War Machines, Sniper 3D, Zooba, and Tennis Clash.
Most nearshore guides are written by staffing agencies selling headcount. Here's what a Brazilian AI consultancy actually sees when companies try to nearshore AI development, and why the model that works for generic software often fails for AI.
NVIDIA announced open-source software for autonomous enterprise AI agents at GTC 2026. Here is what the Agent Toolkit includes, what it means for production deployments, and how it connects to the LangChain ecosystem.
A single environment flag unlocks LSP support in Claude Code, replacing slow text searches with the same semantic code intelligence your IDE uses. Two minutes of setup, permanent improvement on any non-trivial codebase.
Everyone writes about getting roasted by /insights. Nobody writes about making it useful. Seven practical techniques for getting actionable results from Claude Code's undocumented self-assessment tool.
Your AI agent has good uptime, sub-second latency, and zero errors. None of that tells you whether it is actually working. Three proven frameworks from Amazon, Duolingo, and mobile gaming reveal what your monitoring stack is missing.
A technical breakdown of the largest AI agent supply chain attack to date and why 'just install a skill' is the new 'just download this executable'
A practical comparison for companies that need expert AI engineers now, not in six months. Direct hire, Toptal, Upwork, and specialized consultancies compared by company type, technology maturity, and project scope.
A Vertex AI leak surfaced model ID claude-sonnet-5@20260203 with codename Fennec. Prediction markets give 86% odds of a Q1 release. We break down the evidence, the rumored capabilities, and what it means for AI engineering teams.
A practitioner's guide to the Model Context Protocol, the seven mistakes that kill enterprise deployments, when to build vs buy, and why your software engineers are closer to AI-ready than you think.
A technical deep-dive into the most hyped personal AI agent of 2026. Is it a genuine leap forward, or is this year's 'year of personal agents' just a hype cycle dressed in a lobster emoji?
Why 95% task completion meant 30% failure, and how to build evaluation systems that actually work. A technical deep-dive into LLM-as-judge stability, MAST framework, and the eight pitfalls that killed 39% of AI projects.
Nearly 30,000 attendees, 21,000 paper submissions, and a community grappling with fundamental questions about where AI is headed. Our takeaways from the world's premier machine learning conference.
The AI revolution is here, but most companies struggle with a fundamental question: how do we build teams that can actually deliver AI products? Your AI engineer already works for you—the challenge is understanding how to reorganize, retool, and refocus the talent you have.
The AI community is buzzing about multi-agent systems, but do you actually need one? A practical look at the hidden costs and when single agents are the better choice.
Introducing the Vindler blog: technical, practical, and impactful insights on AI development from practitioners building solutions that work at scale. No hype, just hands-on experience.
Get notified when we publish new posts on AI development, AWS, and software engineering.
