Master The new 'agent race' and you'll outperform 95% of veterans developers. When you're navigating the new landscape of frontier labs, IDE companies, and open source software

Prime Intellect ran a swarm of more than 2,000 agents for two weeks to rewrite their own agent from TypeScript to Rust, using over 200B GLM-5.3 tokens. The new version reaches usable input about 13x faster and uses 83% less memory at startup. The part worth copying is how they kept the rewrite honest. Every task went through a planner, an implementer, an independent reviewer and a verifier. The agents also had objective parity checks: diffing terminal output against the old version, comparing session transcripts and model requests, and auditing every feature. If you're planning to put a team of agents on your own codebase, build those checks before you add the second agent.

Protocol100 presents the ultimate roadmap for indie developers: from ideation to reaching $1,000 in MRR. Discover key strategies that truly work in today's digital ecosystem. 🚀 Start your journey with Protocol100, where innovation meets realization. #IndieDev #GrowthStrategy https://protocol100.xyz

Redpanda draws an authorization boundary at the resource-and-operation pair, not at the mere existence of a user. Its ACLs name who may act, which resource is in scope, what operation is allowed or denied, and optionally which host may connect. That gives a concrete boundary around topics, consumer groups, transactional IDs, clusters, and Schema Registry resources. A consumer can receive READ and DESCRIBE on a topic and READ on its group without receiving WRITE, DELETE, or broad administrative access. Resource matching can stay exact or use a prefix, so a team can cover a family of topics while avoiding an unrestricted wildcard. The documented model starts with permissions denied, then grants only the minimum needed; broad ALL access is called out as too wide for production. A resource-level ACL boundary therefore maps each permitted action to named data, limits unintended reach, and gives operators a clear basis for least-privilege review. Redpanda's example separates topic reading from writing to a processed topic, showing how distinct actions can remain distinct https://lnkd.in/gjukp7hy

A few years ago, when I joined the ALX Full Stack Software Engineering program, one of the questions I was asked was: Why do you want to join this program? My answer was simple. I wanted to build an operating system. At the time, the project had a different name and I wasn't anywhere close to being able to build it. But I was fascinated by the idea of working closer to the operating system itself, understanding what happens underneath applications and having control over the environment software actually runs in. The full-stack part gave me something I needed first: the plumbing. How systems connect, how software moves data around, how the different pieces actually work together. A few years later, AI and agents have made that original idea even more interesting. I've been building environments for models and agents to run in, and I'm realizing that you don't need AI everywhere. Sometimes you just need good code. You need the right tools connected properly. You need your data organized. You need memory that can be retrieved. You need computing resources managed properly. AI becomes one part of the system rather than the entire system. That's also why I'm back at the operating-system level now, working toward something that can eventually run on bare metal. It's taken years to get from wanting to build an OS to actually having the technical foundation to start doing it. The idea changed names. The technology changed. The direction didn't.

Crypto is in a different place than it was a year ago, and the demand on infrastructure shows it. With JAM on the horizon, we're preparing for what comes next. That takes more hands, and it takes the right ones. In August, we brought on five engineers, each with real history building in web3, now working across AI systems, developer tooling, runtime and applied engineering, and documentation that helps others build with confidence. Welcome to the team 👋 Dhruv Sharma | George Popov | Bhavya Jain | Damian Parrino | Bart Kaminski

I run four products. I don't have an engineering team. I have Claude. BigPool, an online 8-ball game with live voice. Roundly, where founders publish their round and demo live. QWNT, AI trading agents on Solana. And music, which keeps me sane. People ask how. The honest answer: I write very clear instructions, I review everything that ships, and I roll back fast when it's wrong. Last month we shipped new netcode at 10am and reverted it by evening. For the next 90 days I'm going to share what actually happens. The bugs, the rejections, the decisions, and what I'd do differently. If you're a founder trying to do more with less, follow along. What would you want me to break down first?

I’m struggling to see why #ClaudeCode should still be the default choice. #OpenCode makes a strong case for keeping the coding workflow separate from the model vendor. → OpenAI/Codex models, Gemini, #OpenRouter, and OpenCode Go give you different routes to the model you want. Go is an optional subscription, not a requirement to use OpenCode. → You can choose different models for different agents. That creates room to match the model to the job instead of treating every task as equally expensive. → #Honcho has an OpenCode plugin for persistent memory across sessions. Less starting from zero when a chat ends. → It is being said (didn't check this claim) that OpenCode's system prompt is much smaller that Claude's which might make things cheaper, more efficient. Also, an AHA moment of mine: yesterday I got interrupted by the daily token limit; I didn't know there are plugins to switch to another provider in that situation, and I am stunned by the available options on the market, free options that is.

My main takeaway is to open the memory and copy what is important from one project into the projects that need it. In the project file I am the one in control, so I define its shape and how long it gets. #AIagents #ClaudeCode #Codex

We have a full keynote slate at Opsera's Flutter 2026. Each of these 4 has stood in a different spot on the same freeway, watching code get fast while shipping stayed slow. Which is why we wanted them for our flagship summit. Pauline Brunet runs forward deployed engineering at SpaceXAI. Her job is taking the technology into a live operation and making it work there, where a mistake is not a ticket. Sheila Jordan, former Chief Digital Technology Officer at Honeywell and CIO at Symantec before that. She has sat in the seat that signs off. Aakash Gupta writes Product Growth and led product at Apollo and Affirm before that. He has watched the builder's job change from inside it, which is clearly different from reading about it. Jim Mercer is Program VP at IDC across software development, DevOps and DevSecOps. He talks to everyone, so he knows which problems are one company's and which are everyone's. Same question from 4 seats: the code is fast now, so why is the release still slow. If you'd like to join us on October 1st, please request an invitation: https://lnkd.in/gMZgYu3y