๐ฌ Also available as a blog walkthrough video โ a short narrated tour of the weekโs five posts. TL;DR: Five posts this week, and they rhyme. Each one treats an AI agent as a first-class user of a systeโฆ
AIAgents
67 posts tagged AIAgents ยท all tags
2026
Weekly Review โ June 22-28, 2026
Give Every Agent Its Own Computer: AWS Lambda MicroVMs
๐ฌ Also available as a blog walkthrough video where I walk through the post and the demo. TL;DR: AWS Lambda MicroVMs (launched 22 June 2026) gives every user, job, or AI agent its own isolated, statefuโฆ
Getting Paid by Agents: A Managed Paywall at the Edge
๐ฌ Also available as a blog walkthrough video with a narrated tour of the build. TL;DR: In Part 2 I built the buy side: an agent that autonomously pays per article over x402 with Amazon Bedrock AgentCoโฆ
MCP Strategies on AWS, Part 4: Governance in Code
TL;DR: The governance pillar of the AWS MCP guidance has the best whiteboard story in the whole document, so I made it runnable. The story: an admin asks an agent to clone a production database, the aโฆ
Weekly Review โ June 15-21, 2026
TL;DR: Six posts this week, and most of them do the same thing: take guidance or a principle and turn it into something you can actually run and measure. A three-part MCP series walks the AWS Prescripโฆ
MCP Strategies on AWS, Part 3: Hosting, from Local to AWS
TL;DR: The AWS MCP guidance frames hosting as a ladder: local first, then remote, then a managed gateway. This post walks all three with code. The local rung is a stdio server with no auth, run as a sโฆ
MCP Strategies on AWS, Part 2: Tool Design in Code
TL;DR: The AWS Prescriptive Guidance paper on MCP gives the most useful, checkable rules in its tool-design section, so I wrote code to test them. A token-tax counter on a realistic 20-tool GitHub serโฆ
AI Content Pipeline Deep Dive (5/5): Publishing
TL;DR: Publishing isnโt just โclick deploy.โ Itโs image generation guided by performance data, LinkedIn teasers written from analytics insights, one-command deployment that handles auth, build, deployโฆ
Weekly Review โ June 8-14, 2026
TL;DR: Six posts this week, all circling one idea: with AI systems, raw model power is rarely the differentiator โ the structure, governance, and craft around the model are. A paper (and a Bedrock repโฆ
AI Content Pipeline Deep Dive (4/5): Editing
TL;DR: Every post goes through five automated editing passes before publishing: challenging questions that stress-test the argument, a FAQ that tests whether the post explains what it claims, an AI smโฆ
From a Generic Voice to My Own: Self-Hosting a TTS Model on Amazon SageMaker
TL;DR: Last time, the demo video for my agentic-payments post was narrated by Amazon Polly: a clean, managed, recognizably synthetic voice. This time the same demo is narrated in my own voice, cloned โฆ
Claude Fable 5 on Bedrock: A Hands-On Comparison, and the Data-Retention Switch You Set First
TL;DR: Claude Fable 5 went GA on Amazon Bedrock yesterday (June 9, 2026), so within a day I ran it head-to-head against Opus 4.8 and Sonnet 4.6 (all three EU-resident in Frankfurt) on a document-reconโฆ
AI Content Pipeline Deep Dive (3/5): Collaborative Writing
TL;DR: The agent never writes the first draft. It studies your voice from previous posts, assists during drafting, and systematically reviews what you wrote. The result reads like you, not like ChatGPโฆ
Why Your Cheapest Model Should Write the Harness
TL;DR: A May 2026 paper separates two capabilities that self-improving agents usually conflate: writing harness updates and benefiting from them. Writing is flat across model tiers: a 9B open model prโฆ
Weekly Review โ June 1-7, 2026
TL;DR: Six posts went out this week, and three of them kept circling the same idea: reliability in AI agents does not come from better prompts, it comes from structure. Boundaries, constraints, and coโฆ
AI Content Pipeline Deep Dive (2/5): Research
TL;DR: AI agents are confidently wrong about 1 in 10 factual claims. The research phase of a content pipeline isnโt โask the agent whatโs trueโ โ itโs a system of constraints that physically prevent tโฆ
I Built the Agent That Pays โ Here's What I Learned
TL;DR: A couple of weeks ago I wrote about HTTP 402 and why AI agents might finally activate the internetโs oldest unused status code. The post sparked a real discussion, so I built it: a research ageโฆ
Welcome to the Family: I Sat GPT-5.5 and Claude Opus Down on Bedrock
TL;DR: OpenAIโs GPT-5.5, GPT-5.4, and Codex went GA on Amazon Bedrock on June 1, 2026. To get a feel for it, I wired up two Strands agents โ Claude Opus 4.8 and GPT-5.5 โ and let them chat, with Opus โฆ
AI Content Pipeline Deep Dive (1/5): Ingestion
TL;DR: The ingestion phase is not about reading more. It is about building a system that reads for you, files what matters, and surfaces connections between ideas you captured weeks apart โ at near-zeโฆ
Context Engineering: The Skill That Replaced Prompt Engineering
TL;DR: Patrick Debois coined DevOps in 2009 by naming what practitioners were already doing. In 2026, heโs doing it again with โContext Engineeringโ and the CDLC (Context Development Lifecycle): Generโฆ
HTTP 402: The 30-Year Placeholder That AI Agents Finally Activated
TL;DR: HTTP 402 โPayment Requiredโ has been reserved since 1997 but never used โ because humans canโt approve per-page charges fast enough. AI agents can. The x402 protocol (Coinbase, 2025) revives 40โฆ
The AI Content Pipeline: How I Publish 3x a Week Without a Content Team
Most technical professionals have the same problem. You have ideas. Good ones. You see patterns in your work, learn things worth sharing, form opinions backed by experience. But the distance between โโฆ
8 AWS Guides for Agentic AI โ Mapped to the 4 Pillars That Get You to Production
The Gap Between Demo and Deployment TL;DR: AWS released 8 prescriptive guides for building production-ready agentic AI. This post maps each guide to the four pillars that get agents from demo to deploโฆ
Humorphism: The Interface AI Deserves
Two weeks ago, AWS held its โWhatโs Next with AWSโ event. Among the big announcements, one thing caught my attention that wasnโt a product launch. It was a design philosophy. Humorphism. A word I hadnโฆ
The Agent Security Stack Nobody Is Building
The Scenario Nobody Planned For Itโs 11 PM. Your customer support agent, the AI one, is processing a refund request. It queries the order database, pulls the customerโs payment history, and calls the โฆ
Building Agents That Read the Web Right
The Other Side of the Coin In a recent article, I made my website AI-agent friendly [1], adding llms.txt, Markdown output, and content negotiation to a Hugo site on AWS. That article was about the proโฆ
Making My Website AI-Agent Friendly โ Here's What Changed
The Test That Failed Last weekend, I pointed an AI agent at my own blog and asked it a simple question about an article Iโd just published, my hands-on experiment with self-reflection on Amazon Bedrocโฆ
"It's Faster If I Just Do It Myself" โ The Most Expensive Sentence in AI
The Moment I Almost Gave Up A few weeks ago, I spent 45 minutes teaching my AI agent how to prepare customer meetings. Pulling context from Slack, checking the CRM, looking up LinkedIn profiles, assemโฆ
Technology Evolution Doesn't Move in a Straight LineโIt Spirals
Technology Evolution Doesnโt Move in a Straight Line. It Spirals The Proud Ops Colleague Years ago, an Ops colleague proudly showed me something new. ClusterSSH, cssh [1]. A tool that opens multiple tโฆ
๐๐ฟ๐ผ๐บ ๐๐ฎ๐น๐น ๐๐ฒ๐ป๐๐ฒ๐ฟ ๐๐ผ ๐๐ ๐๐ด๐ฒ๐ป๐ ๐๐๐ฏ: ๐ง๐ต๐ฒ ๐๐๐๐๐ฟ๐ฒ ๐ผ๐ณ ๐๐๐๐๐ผ๐บ๐ฒ๐ฟ ๐ฆ๐๐ฝ๐ฝ๐ผ๐ฟ๐ ๐๐ ๐๐ฒ๐ฟ๐ฒ
๐๐ฟ๐ผ๐บ ๐๐ฎ๐น๐น ๐๐ฒ๐ป๐๐ฒ๐ฟ ๐๐ผ ๐๐ ๐๐ด๐ฒ๐ป๐ ๐๐๐ฏ: ๐ง๐ต๐ฒ ๐๐๐๐๐ฟ๐ฒ ๐ผ๐ณ ๐๐๐๐๐ผ๐บ๐ฒ๐ฟ ๐ฆ๐๐ฝ๐ฝ๐ผ๐ฟ๐ ๐๐ ๐๐ฒ๐ฟ๐ฒ Just returning from an internal Amazon Connect deep[1] dive. I havenโt touched this particular product since maybe 5 years?! Diโฆ
From my perspective balancing AI Agents Agency with Control is one of the most important themes for
From my perspective balancing AI Agents Agency with Control is one of the most important themes for 2026. We need to get this right both as builders and users for AI Agentic systems. Anthropicโs studyโฆ
๐ฏ 'How do we pick the RIGHT AI agent use case?
๐ฏ โHow do we pick the RIGHT AI agent use case? This is the question I hear most from customers exploring agentic AI. Hereโs the mechanism I run through together with the customer: The 4-Quadrant Evaluโฆ
Passing on control to your AI coding agent team entirely?
Passing on control to your AI coding agent team entirely? Anthropic researcher Nicholas Carlini conducted a stress test of their Claude Opus 4.6 model by deploying 16 parallel AI agents to build a comโฆ
Kiro Subagents: Scaling Development with Specialized AI Agents
Kiro Subagents: Scaling Development with Specialized AI Agents When youโre building complex software, context management becomes your bottleneck. Your AI agent is juggling frontend components, backendโฆ
AI coding has quickly developed from an interesting research project to an important tool in the bel
AI coding has quickly developed from an interesting research project to an important tool in the belt of every software developer. Tools like #kiro allow to define subagents, which take on specific reโฆ
๐ Caught up on AWSโs open-sourcing of API models in Smithy format (slipped my radar earlier this yea
๐ Caught up on AWSโs open-sourcing of API models in Smithy format (slipped my radar earlier this year, but timeless value!). There is a GitHub Repository [4] available with AWS API smithy models for 2โฆ
๐ฏ From Chaos to Control: Building Predictable AI Agents That Get Smarter Over Time
๐ฏ From Chaos to Control: Building Predictable AI Agents That Get Smarter Over Time โ๏ธ We need to balance Agency versus Control. We want AI systems to be super easy to use, read our minds, and just proโฆ
๐ฏ From Chaos to Control: Building Predictable AI Agents That Get Smarter Over Time
๐ฏ From Chaos to Control: Building Predictable AI Agents That Get Smarter Over Time Agentic systems are incredibly flexible, but ad-hoc code generation means unpredictable results and wasted resources.โฆ
๐ฑ ๐๐ฟ๐ด๐ต - ๐ ๐ ๐๐ ๐๐ด๐ฒ๐ป๐ ๐ฑ๐ฒ๐น๐ฒ๐๐ฒ๐ฑ ๐ฎ๐น๐น ๐บ๐ ๐ณ๐ถ๐น๐ฒ๐!!!! Worried about AI agents running amok with your data? B
๐ฑ ๐๐ฟ๐ด๐ต - ๐ ๐ ๐๐ ๐๐ด๐ฒ๐ป๐ ๐ฑ๐ฒ๐น๐ฒ๐๐ฒ๐ฑ ๐ฎ๐น๐น ๐บ๐ ๐ณ๐ถ๐น๐ฒ๐!!!! Worried about AI agents running amok with your data? Before panicking, consider this: weโve been solving permission and access control problems for decadeโฆ
2025
๐ช๐ต๐ฎ๐ ๐ต๐ฎ๐ฝ๐ฝ๐ฒ๐ป๐ฒ๐ฑ ๐๐ต๐ถ๐ ๐๐ฒ๐ฎ๐ฟ ๐๐ถ๐๐ต ๐๐ต๐ฒ ๐ด๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐๐ฒ ๐๐ ๐๐ต๐ถ๐ป๐ด๐ ๐ฎ๐ ๐๐ป๐๐ต๐ฟ๐ผ๐ฝ๐ถ๐ฐ? ๐ช๐ต๐ฎ๐ ๐ถ๐ ๐ฐ๐ผ๐บ๐ถ
๐ช๐ต๐ฎ๐ ๐ต๐ฎ๐ฝ๐ฝ๐ฒ๐ป๐ฒ๐ฑ ๐๐ต๐ถ๐ ๐๐ฒ๐ฎ๐ฟ ๐๐ถ๐๐ต ๐๐ต๐ฒ ๐ด๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐๐ฒ ๐๐ ๐๐ต๐ถ๐ป๐ด๐ ๐ฎ๐ ๐๐ป๐๐ต๐ฟ๐ผ๐ฝ๐ถ๐ฐ? ๐ช๐ต๐ฎ๐ ๐ถ๐ ๐ฐ๐ผ๐บ๐ถ๐ป๐ด ๐ป๐ฒ๐ ๐? The week(s) after re:invent are typically the time, where a pile of very good content videos pile up at my end โฆ
Amazing keynote by Swami Sivasubramanian. At least the first 40 minutes are super useful, even if yo
Amazing keynote by Swami Sivasubramanian. At least the first 40 minutes are super useful, even if you are not super interested in new service launches. Swami nicely breaks down how AI agents and Agentโฆ
๐๏ธ In a fantastic interview 'How AI will change software engineering โ with Mart
๐๏ธ In a fantastic interview โHow AI will change software engineering โ with Martin Fowlerโ at the Pragmatic Engineer Podcast [1], Martin Fowler highlights the non-determinism introduced by Agentic AI โฆ
Working in monetisation, advertising or markteting and youโre not sure what kind of use cases can be
Working in monetisation, advertising or markteting and youโre not sure what kind of use cases can be enhanced with AI Agents? Found your use case but struggle with implementation as too many choices tโฆ
โก ๐๐ฒ๐๐ผ๐ป๐ฑ ๐๐ต๐ฎ๐๐ฏ๐ผ๐๐: ๐๐ผ๐ ๐๐ผ๐
๐๐๐๐ผ๐บ๐ผ๐๐ถ๐๐ฒ ๐ฎ๐ป๐ฑ ๐๐ฟ๐๐๐ฎ ๐๐ฟ๐ฒ ๐๐๐ถ๐น๐ฑ๐ถ๐ป๐ด ๐ฃ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐ผ๐ป ๐๐ ๐๐ด๐ฒ๐ป๐๐ ๐ง๐ต๐ฎ๐ ๐๐ฐ๐๐๐ฎ๐น๐น๐ ๐ช๐ผ๐ฟ๐ธ
โก ๐๐ฒ๐๐ผ๐ป๐ฑ ๐๐ต๐ฎ๐๐ฏ๐ผ๐๐: ๐๐ผ๐ ๐๐ผ๐ ๐๐๐๐ผ๐บ๐ผ๐๐ถ๐๐ฒ ๐ฎ๐ป๐ฑ ๐๐ฟ๐๐๐ฎ ๐๐ฟ๐ฒ ๐๐๐ถ๐น๐ฑ๐ถ๐ป๐ด ๐ฃ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐ผ๐ป ๐๐ ๐๐ด๐ฒ๐ป๐๐ ๐ง๐ต๐ฎ๐ ๐๐ฐ๐๐๐ฎ๐น๐น๐ ๐ช๐ผ๐ฟ๐ธ In this brand new blog post Brad Abrams and Jawhny Cooke showcase why Claude and Bedrock AgentCore โฆ
๐ค ๐๐ ๐ฌ๐ผ๐๐ฟ ๐๐ ๐๐ด๐ฒ๐ป๐ ๐ฅ๐ฒ๐ฎ๐น๐น๐ ๐๐ถ๐๐ฝ๐น๐ฎ๐๐ถ๐ป๐ด ๐๐ด๐ฒ๐ป๐ฐ๐? ๐ข๐ฟ ๐๐๐ฒ๐ป... ๐๐ ๐๐ ๐๐น๐ถ๐๐ฒ?
๐ค ๐๐ ๐ฌ๐ผ๐๐ฟ ๐๐ ๐๐ด๐ฒ๐ป๐ ๐ฅ๐ฒ๐ฎ๐น๐น๐ ๐๐ถ๐๐ฝ๐น๐ฎ๐๐ถ๐ป๐ด ๐๐ด๐ฒ๐ป๐ฐ๐? ๐ข๐ฟ ๐๐๐ฒ๐ปโฆ ๐๐ ๐๐ ๐๐น๐ถ๐๐ฒ? Letโs start the week with a fascinating philosophical question, shall we? Easy start in the week ๐ ๐ During this autumn weekend in Geโฆ
Do You Know What Your AI Agents Are Doing? Lost Control? ๐ค
Do You Know What Your AI Agents Are Doing? Lost Control? ๐ค While having a 2nd coffee - to be honest, itโs the third already as days are long at #MTM25 - Iโm reflecting on what has been top of mind forโฆ
๐ The pioneers choosing the hard path aren't just building better products. They
๐ The pioneers choosing the hard path arenโt just building better products. Theyโre building companies their competitors wonโt be able to catch. โจ Today I had the pleasure of joining the AI Product Leโฆ
๐ ๐๐ด๐ฒ๐ป๐๐ถ๐ฐ ๐ฆ๐ต๐ผ๐ฝ๐ฝ๐ถ๐ป๐ด ๐ถ๐ ๐บ๐ฎ๐๐๐ฟ๐ถ๐ป๐ด ๐ฎ๐ ๐๐ฒ ๐ต๐ฎ๐๐ฒ ๐๐ต๐ฒ ๐ฝ๐ผ๐ฐ๐ธ๐ฒ๐ ๐บ๐ผ๐ป๐ฒ๐ ๐บ๐ผ๐บ๐ฒ๐ป๐ ๐ณ๐ผ๐ฟ ๐ฎ๐ด๐ฒ๐ป๐๐ - ๐๐๐ ๐ถ๐ ๐๐ต๐ถ๐ ๐๐ต๐ฒ ๐ฟ๐ฒ๐๐ถ๐
๐ ๐๐ด๐ฒ๐ป๐๐ถ๐ฐ ๐ฆ๐ต๐ผ๐ฝ๐ฝ๐ถ๐ป๐ด ๐ถ๐ ๐บ๐ฎ๐๐๐ฟ๐ถ๐ป๐ด ๐ฎ๐ ๐๐ฒ ๐ต๐ฎ๐๐ฒ ๐๐ต๐ฒ ๐ฝ๐ผ๐ฐ๐ธ๐ฒ๐ ๐บ๐ผ๐ป๐ฒ๐ ๐บ๐ผ๐บ๐ฒ๐ป๐ ๐ณ๐ผ๐ฟ ๐ฎ๐ด๐ฒ๐ป๐๐ - ๐๐๐ ๐ถ๐ ๐๐ต๐ถ๐ ๐๐ต๐ฒ ๐ฟ๐ฒ๐๐ถ๐๐ฎ๐น ๐ผ๐ณ ๐๐ต๐ฒ โ๐ฃ๐ฟ๐ถ๐ป๐ ๐ฆ๐ฐ๐ฟ๐ฒ๐ฒ๐ปโ ๐ฏ๐๐๐๐ผ๐ป? โฐ Itโs hard to take a breath and find time to actually try and expeโฆ
๐ฆ๐ผ๐ณ๐๐๐ฎ๐ฟ๐ฒ ๐ถ๐ ๐ฒ๐ฎ๐๐ถ๐ป๐ด ๐๐ต๐ฒ ๐๐ผ๐ฟ๐น๐ฑ, ๐ฏ๐๐ ๐๐ต๐ฎ๐ ๐ถ๐ ๐๐ต๐ฒ ๐ณ๐๐๐๐ฟ๐ฒ ๐ผ๐ณ ๐ฆ๐ผ๐ณ๐๐๐ฎ๐ฟ๐ฒ?
๐ฆ๐ผ๐ณ๐๐๐ฎ๐ฟ๐ฒ ๐ถ๐ ๐ฒ๐ฎ๐๐ถ๐ป๐ด ๐๐ต๐ฒ ๐๐ผ๐ฟ๐น๐ฑ, ๐ฏ๐๐ ๐๐ต๐ฎ๐ ๐ถ๐ ๐๐ต๐ฒ ๐ณ๐๐๐๐ฟ๐ฒ ๐ผ๐ณ ๐ฆ๐ผ๐ณ๐๐๐ฎ๐ฟ๐ฒ? The phrase โSoftware is eating the worldโ was coined by tech investor Marc Andreessen in a 2011 Wall Street Journal article to describโฆ
In the last couple of weeks we had a lot of announcements around enabling payment for agents. The po
In the last couple of weeks we had a lot of announcements around enabling payment for agents. The pocket money moment for AI Agents. But how are agents doing right now in a virtual grocery store? Supeโฆ
๐ค ๐ช๐ต๐ ๐ถ๐ ๐๐ซ (๐๐ด๐ฒ๐ป๐ ๐๐
๐ฝ๐ฒ๐ฟ๐ถ๐ฒ๐ป๐ฐ๐ฒ) ๐๐ต๐ฒ ๐ป๐ฒ๐
๐ ๐ฏ๐ถ๐ด ๐ฒ๐
๐ฝ๐ฒ๐ฟ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐๐ผ๐ฝ๐ถ๐ฐ? ๐ช๐ต๐ฎ๐ ๐ฎ๐ฏ๐ผ๐๐ ๐ฒ-๐ฐ๐ผ๐บ๐บ๐ฒ
๐ค ๐ช๐ต๐ ๐ถ๐ ๐๐ซ (๐๐ด๐ฒ๐ป๐ ๐๐ ๐ฝ๐ฒ๐ฟ๐ถ๐ฒ๐ป๐ฐ๐ฒ) ๐๐ต๐ฒ ๐ป๐ฒ๐ ๐ ๐ฏ๐ถ๐ด ๐ฒ๐ ๐ฝ๐ฒ๐ฟ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐๐ผ๐ฝ๐ถ๐ฐ? ๐ช๐ต๐ฎ๐ ๐ฎ๐ฏ๐ผ๐๐ ๐ฒ-๐ฐ๐ผ๐บ๐บ๐ฒ๐ฟ๐ฐ๐ฒ ๐ฎ๐ป๐ฑ ๐ฎ๐ฑ๐๐ฒ๐ฟ๐๐ถ๐๐ถ๐ป๐ด ๐ถ๐ป ๐๐ต๐ฒ ๐ฎ๐ด๐ฒ ๐ผ๐ณ ๐๐ ๐๐ด๐ฒ๐ป๐๐? ๐ Short mirror view of last week: Busy. Social. Deep. ๐บ ๐๐บ๐ฒ๐ฟ๐ด๐ฒ ๐ข๐ฐ๐๐ผ๐ฏ๐ฒ๐ฟ๐ณ๐ฒ๐๐ โฆ
๐๐ ๐ฎ๐ด๐ฒ๐ป๐๐ ๐ฎ๐ฟ๐ฒ ๐ด๐ฟ๐ผ๐๐ถ๐ป๐ด ๐๐ฝ - ๐๐ต๐ฒ ๐ฝ๐ผ๐ฐ๐ธ๐ฒ๐ ๐บ๐ผ๐ป๐ฒ๐ ๐บ๐ผ๐บ๐ฒ๐ป๐ ๐ฐ
๐๐ ๐ฎ๐ด๐ฒ๐ป๐๐ ๐ฎ๐ฟ๐ฒ ๐ด๐ฟ๐ผ๐๐ถ๐ป๐ด ๐๐ฝ - ๐๐ต๐ฒ ๐ฝ๐ผ๐ฐ๐ธ๐ฒ๐ ๐บ๐ผ๐ป๐ฒ๐ ๐บ๐ผ๐บ๐ฒ๐ป๐ ๐ฐ All of us can relate to that feeling when we got our first pocket money ๐ฏ Entering a new stage of power and independence. Parents can relate to thaโฆ
Absolutely brilliant. Made my start of the week. And in all seriousness - a good reminder to not jus
Absolutely brilliant. Made my start of the week. And in all seriousness - a good reminder to not just blindly rushing with the innovation train into production, but e.g. apply good standard practices โฆ
The current state of the AI Agents ecosystem reminds me of the early days of technologies like Big D
The current state of the AI Agents ecosystem reminds me of the early days of technologies like Big Data/Hadoop or Containers/Kubernetes: many different tools, frameworks, and open source projects to cโฆ
Traveling at light speed with open eyes is awesome, but sometimes you should loo
Traveling at light speed with open eyes is awesome, but sometimes you should look backโฆ On my way back from the Alps, I spent quality time with colleagues and partners from the Media & Entertainment iโฆ
Today I had a brief coding session with the newly launched Kiro [1]: a new agentic IDE that works al
Today I had a brief coding session with the newly launched Kiro [1]: a new agentic IDE that works alongside you from prototype to production. I selected a use case I had previously coded myself, whichโฆ
Diving into designing multi-agent systems and got lost with all the different implementation options
Diving into designing multi-agent systems and got lost with all the different implementation options? MCP (x)or A2A?! - Heikoโs and Dr. Sokratis Kartakis (any way to mention you in here just by your fโฆ
Kind of an interesting twist in IT history: Did it need the advent of AI Agents
Kind of an interesting twist in IT history: Did it need the advent of AI Agents to drive developer friendly, standardized and discoverable interfaces to systems? Recently Model Context Protocol (MCP) โฆ