Building @tryzenithai | Runner | Alum @ Confluent, Dropbox, Facebook, IIT Bombay
Joined May 2009
- Tweets 292
- Following 423
- Followers 376
- Likes 200
4 Photos and videos
Manveer Chawla retweeted
May 17
Integrating AI Into Apache Kafka Architectures: Patterns and Best Practices
from @confluentinc, by @manveerc
confluent.io/blog/ai-kafka-i…
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Apr 30
People still say @ClickHouse is append-only. That is an eight-year-old myth. Standard #SQL UPDATE shipped in 2025. Lightweight updates use patch parts, skip table rewrites, and run 1000x faster. I analyzed 100 merged PRs to prove it.
dataanalyticsguide.substack.…
#database #clickhouse #dataengineering #analytics
ALT ClickHouse UPDATE myths vs reality (2026) table debunking common misconceptions like append-only storage and lack of UPDATE support, highlighting lightweight updates, standard SQL UPDATE, mutation improvements, and real-time analytics performance.
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Manveer Chawla retweeted
Apr 27
"The model is the brain. The harness is the body."
I sat down with @robinnewhouse from @cline
We got into harness design, model-agnostic agents, and why the bottleneck in coding agents has quietly shifted.
🧵👇
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Apr 24
Most AI SRE tools fail because they try to be "autonomous." I am skeptical of that. A model can't remediate production unsupervised, and it shouldn't.
The real win is the "Companion" model.
The AI does the legwork (triage, timelines, correlation). The human makes the judgment.
I broke down 5 #AI #SRE workflows and the #MCP runtime infrastructure needed to make them safe in production on the Arcade blog.
The goal: let the on-call start on page 5 instead of page 1.
Full post here: arcade.dev/blog/claude-code-…
#AI #SRE #RELIABILITY #ONCALL #DEVOPS #MCP
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Apr 20
2,500x faster than #MongoDB. 10x faster than #Elasticsearch. 9,000x faster than #DuckDB. On 1 billion JSON documents. Single node.
#ClickHouse's native JSON type stores each path as a columnar subcolumn with type preservation and primary key support.
I traced 80 PRs across 4 years. The full evolution from String blobs to production-ready columnar JSON.
dataanalyticsguide.substack.…
@ClickHouseDB #JSON #Performance
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Apr 14
#ClickHouse JOINs in 2026:
6 algorithms. Cost-based reordering. Parallel hash by default. Runtime bloom filters. Correlated subqueries decorrelated.
I audited 50 PRs from 2022 to 2026. The "avoid JOINs in ClickHouse" advice is 3 years out of date.
dataanalyticsguide.substack.…
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Apr 4
#OpenClaw's promise is great but the security model isn't there. I was already using #ClaudeCode and #WhatsApp constantly, so I built on that instead. Now I can text my assistant "prep me for my 2pm" or "latest for a customer project", seconds later I get a response right in my WhatsApp chat.
Full working code: github.com/manveer/whatsapp-…
Tutorial: arcade.dev/blog/secure-openc…
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Feb 13
WebMCP asks every developer on the internet to build a second interface for AI agents. Meanwhile, server-side MCP already exists and the browser already has the Accessibility Tree. Why are we adding a middleman?
manveerc.substack.com/p/webm…
#AI #MCP #WebMCP #LLMs
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Feb 8
Building personal agents like @openclaw forces us to rethink how we run AI agents
The reality: if you're running untrusted agent logic, a shared kernel is a liability. The blast radius is just too big. Wrote down some thoughts here on different options:
open.substack.com/pub/manvee…
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Jan 1
AI SREs will fail on missing data before they fail on missing IQ.
Most observability stacks aren't built for agentic workflows. They drop the exact high-cardinality dimensions like User IDs or Request IDs that an AI needs to find a root cause.
My thoughts on this are up on the @ClickHouseDB blog.
clickhouse.com/blog/ai-sre-o…
#AI #SRE #DevOps #observability
Jan 1
As we head into 2026, we expect agentic AI SREs to move more from hype to production.
Though that fail, won’t fail on models. They’ll fail on data.
Manveer explains why ClickHouse solves this problem and fits this workload:
- Long retention, full-fidelity telemetry
- High-cardinality data without pain
- Fast SQL for agentic investigation loops
- Built for correlation, not dashboards
AI SREs need better observability, not bigger models.
clickhou.se/4qyHaQg
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31 Oct 2025
The old observability model is broken. Siloed tools can't handle high cardinality data well. We analyzed a unified stack for ClickHouse.
clickhouse.com/engineering-r…
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4 Sep 2025
SEO is changing. Fast. The proof? Check out these insane results from our work with the brilliant team at @MotherDuck
🚀 18.9% lift in share of voice
🚀 3x content velocity
Here’s a quick look at how we did it 👇
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4 Sep 2025
You don't need to compromise on speed and quality. You can achieve both.
Onward! 📈 #AEO #SEO #LLM #Marketing
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4 Sep 2025
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19 Jul 2025
Execution beats strategy, everytime!
there’s no “secret sauce” in software or research anymore. just speed. whoever ships faster, learns faster, wins.
the only real edge is compounding attempts… engineers who’ve tried, failed, & tried again. experience is the only multiplier left & even that gap closes quickly to a certain extent.
even in research it’s more about iteration loops... how fast can you build, test, discard, repeat.
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19 Jul 2025
The phrase "English is the new programming language" is catchy, but wrong.
I put it to the test by building a macOS app from scratch using only Claude Code.
Here’s what I learned about Software 3.0, the future of software development. 🧵
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19 Jul 2025
My big takeaway: The new core skill isn't writing English, it's judgment.
The job is shifting from coder to "AI Manager"—the one who provides vision, context, and the ultimate QA. Your experience is your new superpower.
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19 Jul 2025
AI doesn't make your expertise obsolete; it makes it more valuable. Software 3.0 is the fusion of natural language, AI execution, AND human judgment.
I wrote about the full experiment here: open.substack.com/pub/manvee…
#AI #Coding #DevTools #ClaudeCode #Software30
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