Putting myself on the spot. Goals for this month’s to start with learning for CKA certification and pass before the end of June.

What’s with the sudden tech job openings on the rise in Toronto ?

Agent Claude is now scanning all my posts and updates a summary log of all random ideas into my notion page. Scheduled to run twice a day.

Provide Claude with access to a specific folder containing coding files, and allow it to modify them as needed. If you’re granting the agent full control, include specific conditions in the MD file.

Quite a valuable list of checks for anyone who is vibe coding the ideas. Add them to the .MD file

Never knew I have ADHD

The issue isn’t the AI itself, but rather how we integrate it into existing processes and workflows. The transition period has left everyone confused about the need to use AI, but the real question is how.

Opus 4.6 with a max plan has taught me so many things I haven’t learnt in my last 10 years. You can literally build and launch an app while driving, make your data personal by launching your own apps.

Preparing for a DevOps / SRE role in 2026? Just knowing Docker Kubernetes is not enough anymore (especially with AI writing half the YAML) Here are 10 topics you must learn: 1. Linux Networking Fundamentals Processes, file descriptors, cgroups, namespaces TCP vs UDP, DNS, TLS handshake, NAT, load balancers, connection pools 2. Kubernetes Internals (not just kubectl) Scheduler basics, CNI/CSI, kube-proxy, ingress, autoscaling Pod lifecycle, readiness vs liveness, resource requests/limits, eviction, disruption budgets 3. Infrastructure as Code at Scale Terraform modules, state management, drift detection, plan/apply safety Immutable infra mindset, environment promotion, review pipelines, secrets in IaC 4. CI/CD Release Engineering Blue/green, canary, rolling, feature flags, progressive delivery Artifact versioning, build caching, SBOM generation, rollback strategies that actually work 5. Reliability Engineering Basics SLO/SLI, error budgets, availability math, capacity planning Toil reduction, runbooks, on-call handoffs, incident response discipline 6. Observability as a Product Metrics vs logs vs traces, RED/USE, OpenTelemetry, exemplars Correlation IDs, tracing async flows, alert fatigue, good dashboards vs vanity dashboards 7. Incident Management Debugging Under Pressure How to triage fast: saturation vs errors vs latency Debugging “it is slow but CPU is fine”, noisy neighbor issues, dependency failures, partial outages 8. Security Supply Chain (this matters more in AI era) IAM least privilege, service accounts, workload identity Secrets rotation, mTLS, network policies, image signing, dependency poisoning, runtime security 9. Cost Performance Engineering (FinOps mindset) Right sizing, autoscaling limits, spot/preemptible tradeoffs Egress costs, storage tiers, caching layers, measuring cost per request not just “monthly bill” 10. Operating AI Systems (new baseline now) GPU scheduling, model serving patterns, rate limits, prompt injection style abuse vectors Vector DB / cache invalidation for embeddings, observability for inference latency, fallback strategies when model or vendor is down Reality in AI age: AI can generate configs, but SRE/DevOps is about judgement. When things break at 2 AM, nobody cares who wrote the YAML. They care who can restore service and prevent it from happening again.

Is any one solving the complex AI agents observability and behavioural intelligence gap?

Opus 4.6 has been trying to load a web page on a local host for last 45 minutes. AI is not coming for your jobs guys.

The number of registered AI agents is also fake, there is no rate limiting on account creation, my @openclaw agent just registered 500,000 users on @moltbook - don’t trust all the media hype 🙂

Read it slowly

how to prompt to get gorgeous UI and get 10x more out of Lovable, Bolt, Cursor, v0 (35 min tutorial)

There are other enemies that you should be pointing your targets at for: 1) why everything is so expensive now, and 2) why people feel so poor now Because they're the same thing It's central banks who flooded the system with money during COVID, which then caused massive inflation increasing the prices of stocks, real estate and everything else Essentially governments are the ones who robbed the people, reducing everyone's purchasing power and making everyone poorer, especially the ones who weren't invested Add to that 1) consistent overregulation in the West making it difficult to build housing, you get even higher home and rent prices, and 2) in Europe overregulation that makes it difficult to start or run a business, which means you get less good jobs, stagnancy in salaries and no new opportunities for people And you are where we are now

I’m 39 and recently learned what I thought in my 20s was total bullsh*t. If you're 30 and questioning your life... read this. 25 highly controversial truths I'd tell my 25 year old self every day: 1. If you fit in, you're replaceable. Do the opposite of society if you want to get what you want.

At #GoogleIO, we shared how decades of AI research have now become reality.  From a total reimagining of Search to Agent Mode, Veo 3 and more, Gemini season will be the most exciting era of AI yet.  Some highlights 🧵