Surya Prakash Jayanti

This week's AI pulse: Agentic development tools matured, offering developers better control and deeper integration into existing cloud platforms. 1. Know this Cloudflare Launches “Artifacts” Beta for AI Agents Why it matters: Cloudflare introduces Git-style version control for AI agent outputs, a critical step for bringing the same rigor of traditional code development to agentic projects. This enhances reproducibility, auditability, and collaboration in CI/CD workflows, addressing key security and reliability concerns for evolving agent behaviors. Action: Evaluate how Git-like versioning for AI agent outputs can integrate into your existing CI/CD pipelines. Consider how this impacts agent deployment strategies and artifact management, ensuring proper traceability and rollback capabilities for evolving agent logic. 2. Try this llm 0.32a2 Unlocks Interleaved Reasoning for OpenAI Models Why it matters: The latest llm alpha release provides access to summarized reasoning...

 

How I Automated a Weekly AI News Blog Using RSS, Gemini, GitHub Actions, and Blogger with $0 cost I wanted a simple, low-cost way to publish a weekly AI and platform engineering brief. The goal was clear: collect interesting updates from trusted RSS feeds, summarize them with Gemini, publish the result to Blogger, and generate a LinkedIn-ready share post. The result is AI News in 10: Weekend Brief , an automated weekly blog pipeline that runs every Thursday at 5 PM Central time. The idea Instead of building a full newsletter platform or custom CMS, I used tools that are either free or already available: RSS feeds for source discovery Gemini API for summarization and blog generation GitHub Actions for weekly automation Blogger API for publishing to Blogspot GitHub Actions Summary for the final blog link and LinkedIn copy End-to-end flow Thursday 5 PM Central | v GitHub Actions starts the workflow | v Python script reads ...

This week's AI pulse: Agentic development continues to mature, bringing crucial advancements in security, versioning, and self-hosted infrastructure. 1. Know this GitHub Fortifies AI Agent Security in CI/CD Why it matters: As AI agents integrate deeper into CI/CD, they introduce new attack surfaces and compliance challenges; GitHub’s layered defense architecture helps secure these emerging workflows, focusing on isolation, constrained execution, and auditability. The goal is to safely integrate autonomous AI agents while mitigating risks like prompt injection and unintended actions. Action: Prioritize understanding the security implications of autonomous agents in your CI/CD pipelines and explore implementing isolation, constrained execution, and detailed audit trails as core security tenets. 2. Try this Coder Agents Enable Self-Hosted AI Coding Workflows Why it matters: Companies facing strict data governance or unique infrastructure requirements can now run AI coding...

This week's AI pulse: Agentic development is hitting new maturity, with crucial advancements in version control, self-hosting options, and robust security frameworks for AI agents in the CI/CD pipeline. 1. Know this Cloudflare Launches “Artifacts” Beta for Git-Like AI Agent Versioning Why it matters: Cloudflare's new Artifacts system brings familiar Git-style version control to AI agents, allowing developers to meticulously track, manage, and evolve agent-generated outputs. This addresses a significant challenge in agentic development, enabling the same rigor for AI artifacts as for traditional code, which is essential for auditability and robust CI/CD pipelines. Action: Consider how Git-like versioning for AI agent outputs could streamline your agentic development workflows, improve collaboration, and enhance the reliability of your automated deployments. 2. Try this Coder Agents Enable Self-Hosted AI Coding Workflows Why it matters: Coder Agents offers a model-ag...

The value of being an active participant, one who remains present in every moment and pays attention to every little detail. Quotations from the book "Read Your Mind - Oz Pearlman". Negativity bias means we feel the pain of rejection far more deeply than the balm of praise. The smartest plan is always to de-escalate a situation. The best speakers lead their audiences to a series of specific conclusions, keeping them engaged and entertained and aware of the changes taking place in their minds, which is real-life mentalism. In terms of personal phobias, the fear of being embarrassed is one of the most common. The theory is that the more you accustom yourself to rejection, the better insulated you will be. Sometimes you have to kill your darlings because the audience doesn't care about what you like. Remember, the audience is always right. The courier who ran from the Marathon to Athens to share the good news that the Greeks had beaten the persians did drop dead at the end o...

How a knowledge graph, two cron jobs, and an LLM replaced my morning routine Surya Jayanti · April 2026 I manage a platform with 400+ repositories across multiple GitHub orgs. Every morning used to mean: 30+ merged PRs releases I didn’t track wiki updates I missed 22 blogs worth of industry noise So I built three AI systems that read everything for me, analyze it against my codebase, and send a briefing before my first coffee. This is how it works. 1. The Knowledge Graph: Teaching an LLM Your Codebase LLMs are great generalists, but they don’t understand your platform. Ask them about your services and they’ll confidently hallucinate. I call this the hallucination gap . The fix: build a structured representation of your codebase. Why not just RAG? Chunk-and-embed gives you fragments. But real insights live between files : imports → dependencies Kafka producers → consumers service calls → system wiring So instead of dumping code, I extract relationships. 4-Layer Model ...