ibm2100's profile picture. Complexity != Complicated

Gani Mendoza

@ibm2100

Complexity != Complicated

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How to become a #Golang backend developer the optimal way medium.com/@pithomlabs/ho…

ibm2100's tweet image. How to become a #Golang backend developer the optimal way

medium.com/@pithomlabs/ho…

After nearly 3 yrs of working with CDK and CloudFormation and experienced its underlying design flaws, SST v3 opted to use #Pulumi and #Terraform supporting AWS #Cloudflare #Netlify It's #opensource, runs on local machine sst.dev/blog/sst-v3 sst.dev/blog/moving-aw…

ibm2100's tweet image. After nearly 3 yrs of working with CDK and  CloudFormation and experienced its underlying design flaws, SST v3 opted to use #Pulumi and #Terraform supporting AWS  #Cloudflare #Netlify

It's #opensource,  runs on local machine

sst.dev/blog/sst-v3

sst.dev/blog/moving-aw…

Why Does Evalite Exist? There are plenty of eval runners out there. But most of them are also bundled with a cloud service. Evalite is different. It’s local-only, runs on your machine, and you stay in complete control of your data evalite.dev/what-is-evalite #golang #javascript

ibm2100's tweet image. Why Does Evalite Exist?

There are plenty of eval runners out there. But most of them are also bundled with a cloud service.

Evalite is different. It’s local-only, runs on your machine, and you stay in complete control of your data

evalite.dev/what-is-evalite

#golang #javascript

Gani Mendoza 已轉發

I bet the previous 3 years of my career on TypeScript. For the next 3, I'm betting on the AI SDK. Let's go.


Gani Mendoza 已轉發

Had a great time at Remix Jam -- now for my initial take on Remix 3: Regardless of how much you like React, it's a hard truth that a lot of people don't feel like they are able to understand it. This isn't a technical argument. This is an acknowledgement that there is a market…


12-Factor Agents - Principles for building reliable LLM applications github.com/humanlayer/12-…

ibm2100's tweet image. 12-Factor Agents - Principles for building reliable LLM applications

github.com/humanlayer/12-…

#SolidJS combines the ergonomics of JSX and functional components (like React) with a fundamentally different, fine-grained reactivity model based on signals (functions that hold a value and notify dependents of changes), high performance w/out the mental overhead of memoization

ibm2100's tweet image. #SolidJS combines the ergonomics of JSX and functional components (like React) with a fundamentally different, fine-grained reactivity model based on signals (functions that hold a value and notify dependents of changes), high performance w/out the mental overhead of memoization

Spec-driven development hinges on this premise: instead of treating code as the source of truth — as is the case with task-oriented vibe coding — it uses specifications as the source of truth for the software’s **functionality** (not the software itself) blog.codeplain.ai/p/beyond-vibe-…

ibm2100's tweet image. Spec-driven development hinges on this premise:

instead of treating code as the source of truth — as is the case with task-oriented vibe coding — it uses specifications as the source of truth for the software’s **functionality** (not the software itself)

blog.codeplain.ai/p/beyond-vibe-…

The idea of "executable specs" that Spec Kit tries to achieve is really materialising in unit and integration tests that are readable only for devs. The artifacts it creates are useful as a high level overview for project mgmt and progress tracking linkedin.com/pulse/spec-dri…

ibm2100's tweet image. The idea of "executable specs" that Spec Kit tries to achieve is really materialising in unit and integration tests that are readable only for devs. 

The artifacts it creates are useful as a high level overview for project mgmt and progress tracking

linkedin.com/pulse/spec-dri…

Gani Mendoza 已轉發

[New Content] @appenz and I looked into the trillion dollar AI software dev stack and wrote down our thoughts This category has already unlocked massive value and is on track to be the fastest-growing in history

stuffyokodraws's tweet image. [New Content] @appenz and I looked into the trillion dollar AI software dev stack and wrote down our thoughts 

This category has already unlocked massive value and is on track to be the fastest-growing in history

🚨New Content: The Trillion Dollar AI Software Development Stack It will generate massive value, spawn hundreds of start-ups and has created the fastest growing companies in history. @stuffyokodraws and I did a deep-dive on market, start-ups and the evolving stack. ⬇️

appenz's tweet image. 🚨New Content: The Trillion Dollar AI Software Development Stack

It will generate massive value, spawn hundreds of start-ups and has created the fastest growing companies in history.

@stuffyokodraws and I did a deep-dive on market, start-ups and the evolving stack. ⬇️


Prompt engineering is for humans Context engineering is for machines Tighten up your prompts with explicit, well-defined intent and constraints tessl.io/blog/task-fram…

ibm2100's tweet image. Prompt engineering is for humans
Context engineering is for machines

Tighten up your prompts with explicit, well-defined intent and constraints

tessl.io/blog/task-fram…

How to choose agent type in GPTBots.ai based on - simple use case (Agent) - workflow with SOP (FlowAgent) - autonomy/flexibility (MultiAgent) gptbots.ai/blog/dify-ai#d…

ibm2100's tweet image. How to choose agent type in GPTBots.ai based on 

- simple use case (Agent)
- workflow with SOP (FlowAgent)   
- autonomy/flexibility (MultiAgent) 

gptbots.ai/blog/dify-ai#d…

Two-stage retrieval in context engineering 1. find the hay (e.g. turbopuffer - fast search on object storage) 2. find the needle in the haystack (reranker like ZeroEntropy) zeroentropy.dev/articles/imple… jeffhuber.substack.com/p/the-rise-of-… #golang #javascript #python

ibm2100's tweet image. Two-stage retrieval in context engineering

1. find the hay (e.g. turbopuffer - fast search on object storage) 
2. find the needle in the haystack (reranker like ZeroEntropy)

zeroentropy.dev/articles/imple…

jeffhuber.substack.com/p/the-rise-of-…

#golang #javascript #python

Realm.security does not negate the need for SIEM. Instead, it is an AI-native data pipeline platform that works with your existing SIEM to to filter out low-value log data before it hits your SIEM or XDR—reducing costs while keeping the signal realm.security/how-a-security…

ibm2100's tweet image. Realm.security does not negate the need for SIEM. Instead, it is an AI-native data pipeline platform that works with your existing SIEM to to filter out low-value log data before it hits your SIEM or XDR—reducing costs while keeping the signal

realm.security/how-a-security…

QJS is a modern, secure #JavaScript runtime for #golang applications, built on the powerful QuickJS engine and Wazero #WebAssembly runtime without CGO dependency Time: QJS is 1.51x faster than Goja. Memory: QJS uses 94.30x less memory than Goja github.com/fastschema/qjs

ibm2100's tweet image. QJS is a modern, secure #JavaScript runtime for #golang applications, built on the powerful QuickJS engine and Wazero #WebAssembly runtime without CGO dependency

Time: QJS is 1.51x faster than Goja.
Memory: QJS uses 94.30x less memory than Goja

github.com/fastschema/qjs

Gani Mendoza 已轉發

Introducing Teable 2.0: The AI Database Agent 1️⃣ From the best open-source no-code DB → now the first AI Database Agent 2️⃣ Transform all your data into action: organize, analyze, automate, batch-generate — all in seconds 3️⃣ Make data work effortless & smart — for everyone


Gani Mendoza 已轉發

Better Comments for GitHub is now available for everyone! 🚀 A browser extension that replaces @github comment-box with a powerful rich editor which supports GFM, Syntax highlightning and more! Made with @solid_js, ProseMirror and prosekit by @ocavue github.com/riccardoperra/…


Datavations’ original pipeline built around S3, Databricks, Athena, and Tableau to ClickHouse self-hosted on EC2 handling all transformations using dbt, orchestrated via AWS Batch and analyzed using Hex clickhouse.com/blog/18x-faste…

ibm2100's tweet image. Datavations’ original pipeline built around S3, Databricks, Athena, and Tableau to ClickHouse self-hosted on EC2 handling all transformations using dbt,  orchestrated via AWS Batch and analyzed using Hex

clickhouse.com/blog/18x-faste…

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