Raphael De Lio

@raphaeldelio.dev

AI Engineer | Software Engineering | Building AI agents @ Redis (@redis.io) https://raphaeldelio.com | https://youtube.com/raphaeldelio | https://linktr.ee/raphaeldelio

Harness engineering is the buzzword of 2026. But the ideas behind it are decades old. Turns out that building scalable agents still requires the same systems engineering skills software engineers have relied on for years to build scalable and sustainable systems. redis.io/resources/vi...

Session management, caching, & rate limiting

Solves common real-time application workloads; personalization, search, fraud detection, session management, and AI context.

redis.io

Bought more shares of Duolingo yesterday. I had previously bought it when learning Dutch a couple years ago and decided to do so again that I’m learning Japanese. Practicing something like one hour a day during a week and I can already read Hiragana. Love this app.

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1/9 If a service commits something to a database and then publishes a message to Kafka, what happens if the database commit succeeds but the Kafka publish fails? This problem has nothing to do with AI. But the mindset behind solving it matters a lot for AI agents.

An agent deleted his prod db with one API call Backups were tied to same volume Least privilege. Environment isolation. Secret management. Backup isolation. Audit logs. Recovery testing. None of this is new The agent didnt invent a new failure mode. It compressed an old one into nine seconds

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Harness engineering is just ML folks hitting production for the first time, seeing their systems fail because they never had to think about security, scalability, reliability, maintainability, or system design as a whole, and then reinventing software engineering with a new name.

I’m seeing a lot of posts claiming n8n is dead. I’ve never used it and I wonder if it’s a tool that has value when building enterprise scalable agents? Or did it serve a small niche that was agglutinated by something else?

1/ A former DevOps colleague recently woke up to a $70k GCP bill. And honestly, 𝗶𝘁 𝗺𝗮𝘆 𝗯𝗲 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝘁𝗵𝗶𝗻𝗴 𝘁𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝗲𝗱 𝘁𝗼 𝘁𝗵𝗲𝗺. After investigating, they found out that an 𝗔𝗣𝗜 𝗸𝗲𝘆 created in 𝟮𝟬𝟮𝟬 with no restrictions had been leaked and was now being 𝗮𝗯𝘂𝘀𝗲𝗱 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗚𝗲𝗺𝗶𝗻𝗶 𝗔𝗣𝗜.

Started playing Eternal Darkness with a friend yesterday. A game released in 2002. We get stuck. I tell him to check ChatGPT. He checks YouTube instead. He’s not a technical person, he’s an airline pilot. What do you infer from that?

1/ Amidst so much change and uncertainty in the world, there's something grounding about waking up to a photograph like this. My dad watched men land on the moon in 1969, when he was only 8 years old. He's the reason I care about space exploration.

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This is my favorite climate change chart. Japanese monks, aristocrats, and emperors kept meticulous records of cherry blossom festivals for 1,200 years and accidentally built the world's longest climate dataset.

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Enterprise agents won’t scale because you gave them better prompts. 𝗧𝗵𝗲𝘆 𝘀𝗰𝗮𝗹𝗲 𝘄𝗵𝗲𝗻 𝘆𝗼𝘂 𝘁𝗿𝗲𝗮𝘁 𝘁𝗵𝗲𝗺 𝗹𝗶𝗸𝗲 𝘀𝘆𝘀𝘁𝗲𝗺𝘀.

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It's difficult for me to believe that the cost of coding has got nearly to zero. Especially as someone who's been coding with agents consistently for almost one year.

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