Using the Browser’s <canvas> for Data Compression
When building static websites and Single-Page Applications (SPAs), we sometimes need functionality in JavaScript front ends—such as compression—that is usually handled on the back end instead. […]
🔄 https://jstrieb.github.io/posts/canvas
Derrick Ross from Shakespeare reckons there open web is in trouble because you got to be a dev to build a website.
He seems to think his app Shakespeare can make it easier to make a web app by using ai 😕
"Build me a Twitter like website" is the kind of instruction he thinks it will handle.
A local app running on your own machine, though calling the big ai model apis. Including if you have the power at home to run deep seek or open models.
I find myself suspecting it'd be hard for vibe coders who aren't devs to tell if they had vibe coded buggy insecure software or not.
#vibeCoding #nostershire
Indian digital payments company Pine Labs plans to embed OpenAI APIs into its infrastructure to enable AI-assisted settlement, reconciliation, and invoicing (Jagmeet Singh/TechCrunch)
https://techcrunch.com/2026/02/18/openai-deepens-india-push-…
Folks, I am on a roll binding Apis to make it easier for Godot games to be awesome in iOS.
What Apis would you like me to add to my plugin?
Stop Installing Libraries: 10 Browser APIs That Already Solve Your Problems
The web platform is way more powerful than most developers realize — and every year it quietly gains new superpowers.
🧑💻 https://dev.to/sylwia-lask/stop-instal
Summary of the recent optimization work in ngscopeclient (not counting core/driver stuff, just filters)
I'm now making a pass through the entire filter library in alphabetical order removing some deprecated APIs, adding error reporting, and doing trivial GPU optimizations where I find them but not spending more than a few hours on a filter unless it's something like the CDR or eye that is really critical.
None of these are what I would consider "done". I'm f…
Telerik software engineer Dave Brock takes a look at improvements in .NET 10 from a web api coder's perspective. Reviewed improvements include:
1. Built in Validation for Minimal APIs
2. Validation Error Responses
3. OpenAPI 3.1
4. Schema Improvements
5. EF Core 10 Named Query Filters
6. C# 14 Improvements
7. Null-conditional Assignments
8. Extension Members
(...)
"What’s New with APIs in .NET 10: Taking a Look at Real Improvements…
Google today announced an early preview of #WebMCP,
a new protocol that defines how AI agents interact with websites.
“WebMCP aims to provide a standard way for exposing structured tools, ensuring AI agents can perform actions on your side with increased speed, reliability, and precision,” wroteAndré Cipriani Bandarra from Google.
WebMCP lets developers tell large language models exactly …
I enjoy LLMs the most when they are augmenting my existing skillset. I've lost count of how many demo APIs I've built with FastAPI for workshops but Claude built this one, configured it for deployment to Railway (a first for me), wrote the mildly amusing sample data I wanted, and switched to Scalar for docs with no fuss.
While I carry on with content I actually wanted to cover without getting bogged down in the details of the demo that's only there to let the attendees try some skills!
Where should we recommend events & community host long videos that isn't YouTube?
* Vimeo - paid, embeds work, recently acquired is a bad sign
* @… - free, no embeds
* BunnyCDN - paid, lots of options including APIs, no embeds
* Peertube - self-hosted, no embeds
Full write up in the forum
Logged into Google using Chrome at work and found it's become a Kakfa-esque experience where I had to log in five times before I realized what was going on with "profiles" I've never asked for. Reminds me of the time I did a shoot-out of ten visual recognition APIs and I got demos of the others done in 20 minutes each but Google Cloud Compute took two hours because it trashed my Python #google
Telerik software engineer Dave Brock takes a look at improvements in .NET 10 from a web api coder's perspective. Reviewed improvements include:
1. Built in Validation for Minimal APIs
2. Validation Error Responses
3. OpenAPI 3.1
4. Schema Improvements
5. EF Core 10 Named Query Filters
6. C# 14 Improvements
7. Null-conditional Assignments
8. Extension Members
(...)
"What’s New with APIs in .NET 10: Taking a Look at Real Improvements…
It's really fun how you can easily vibecode apps using Mastodon's APIs to analyse, summarize your timeline, lists etcetera For personal use i made an app to summarize the last 48 hours of posts in a specific Mastodonlist. Really useful/timesaver.
#vibecoding #mastodon
Duende has released DPoP Support for #aspnetcore via the JwtBearer Extensions NuGet package. This library helps protect your APIs against one of the highest threats to the OAuth ecosystem: the abuse of stolen access tokens.
#dotnet
You'd think that Gracenote must be one of the oldest APIs still working but there's basic Internet protocols that are way older, like NTP or DNS
These are three arguments for web dev serv. APIs, even if you have to take a critical look at them in detail:
»Speed Comparison: Benchmarking programming languages using the Leibniz formula for calculating π«
— 2025-12-12
📊 https://niklas-heer.github.io/speed-comparison/…
RE: https://mastodon.social/@Edent/115972744331119621
A nice blog post that asks "Are there any open APIs left?" (Spoiler: Many have disappeared, but there're still Wikipedia, Google Books ISBN lookup, Pokémon API , MusicBrainz and others)
Stripe agrees to acquire Metronome, which offers APIs to help SaaS companies charge customers based on usage and has raised $128M in total funding (Scott Woody/Metronome)
https://metronome.com/blog/important-company-update
The WebSerial specification is on of those web APIs implemented only in Chrome so far; Mozilla have revised their standards position from "harmful" to "neutral" when they established the mechanism addon-gating, but are merely open to patches.
But an add-on, "WebSerial for Firefox" already fills the gap well. The caveat compared to any Mozilla sanctioned approach is that it needs a local helper, but that is well managed through the native-messaging-hosts me…
> Concretely, we expect to add ML-KEM and ML-DSA APIs that are only available with #LibreSSL/#BoringSSL/AWS-LC, and not with #OpenSSL.
(from #Cryptography and #Qt simultaneously, right? (Qt rejected LibreSSL support.)
#Python
Playing around with Antigravity, vibe coded a social media summarizer that makes a summary of the last 48 hours of my bluesky and mastodon timelines, using python, a local database of the posts on my laptop and APIs of mentioned services. Works greats after squashing some bugs and a few iterations. Interestingly you need to know a little bit about coding to use it efficienctly, even in "vibecode" mode.
Alabama-based Linq, which pivoted to programmatic messaging APIs in February 2025, raised a $20M Series A to build AI assistants that work within messaging apps (Ram Iyer/TechCrunch)
https://techcrunch.com/2026/02/02/linq-raises-20m-to…
I've started telling people that the biggest change websites can make in terms of improving environmental sustainability, is to use clear, semantically rich, text mark-up along with well specced public APIs.
This will reduce, to some unknown aggregate, the amount of power and resources used by current and future agentic systems when interacting with them.
Playing around with Antigravity, vibe coded a social media summarizer that makes a summary of the last 48 hours of my bluesky and mastodon timelines, using python, a local database of the posts on my laptop and APIs of mentioned services. Works greats after squashing some bugs and some iterations. Interestingly you need to know a little bit about coding to use it efficienctly, even in "vibecode" mode.
#AI
SplatBus: A Gaussian Splatting Viewer Framework via GPU Interprocess Communication
Yinghan Xu, Th\'eo Morales, John Dingliana
https://arxiv.org/abs/2601.15431 https://arxiv.org/pdf/2601.15431 https://arxiv.org/html/2601.15431
arXiv:2601.15431v1 Announce Type: new
Abstract: Radiance field-based rendering methods have attracted significant interest from the computer vision and computer graphics communities. They enable high-fidelity rendering with complex real-world lighting effects, but at the cost of high rendering time. 3D Gaussian Splatting solves this issue with a rasterisation-based approach for real-time rendering, enabling applications such as autonomous driving, robotics, virtual reality, and extended reality. However, current 3DGS implementations are difficult to integrate into traditional mesh-based rendering pipelines, which is a common use case for interactive applications and artistic exploration. To address this limitation, this software solution uses Nvidia's interprocess communication (IPC) APIs to easily integrate into implementations and allow the results to be viewed in external clients such as Unity, Blender, Unreal Engine, and OpenGL viewers. The code is available at https://github.com/RockyXu66/splatbus.
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Easy Adaptation: An Efficient Task-Specific Knowledge Injection Method for Large Models in Resource-Constrained Environments
Dong Chen, Zhengqing Hu, Shixing Zhao, Yibo Guo
https://arxiv.org/abs/2512.17771 https://arxiv.org/pdf/2512.17771 https://arxiv.org/html/2512.17771
arXiv:2512.17771v1 Announce Type: new
Abstract: While the enormous parameter scale endows Large Models (LMs) with unparalleled performance, it also limits their adaptability across specific tasks. Parameter-Efficient Fine-Tuning (PEFT) has emerged as a critical approach for effectively adapting LMs to a diverse range of downstream tasks. However, existing PEFT methods face two primary challenges: (1) High resource cost. Although PEFT methods significantly reduce resource demands compared to full fine-tuning, it still requires substantial time and memory, making it impractical in resource-constrained environments. (2) Parameter dependency. PEFT methods heavily rely on updating a subset of parameters associated with LMs to incorporate task-specific knowledge. Yet, due to increasing competition in the LMs landscape, many companies have adopted closed-source policies for their leading models, offering access only via Application Programming Interface (APIs). Whereas, the expense is often cost-prohibitive and difficult to sustain, as the fine-tuning process of LMs is extremely slow. Even if small models perform far worse than LMs in general, they can achieve superior results on particular distributions while requiring only minimal resources. Motivated by this insight, we propose Easy Adaptation (EA), which designs Specific Small Models (SSMs) to complement the underfitted data distribution for LMs. Extensive experiments show that EA matches the performance of PEFT on diverse tasks without accessing LM parameters, and requires only minimal resources.
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