Social Wire

Page 5 of 13 · newest first.

@RebeccaTorrenc5 · Cognition
Cognition is reportedly in talks for a new funding round at a $40 billion valuation, with annualized revenue run rate approaching $1 billion, marking significant growth for the AI coding startup.
@ryancarson · Cloud
A developer shares their positive experience with DevinAI, citing the benefits of cloud-based engineering and the potential for a fully remote workflow in the future.
@bnistordev · Cognition
Devin is being used to build a Product Information Management system, handling tasks such as spinning up a VM, installing PrestaShop, and running end-to-end tests
@Sherveen · Cognition
Devin stands out from other harnesses for software engineering, offering a tier of its own, although it may be too expensive for some users
@jerryjliu0 · CLI
The future of FDE work may involve automated optimization processes, shifting the focus from implementation to defining goals and outcomes.
@odysseus0z · Cognition
Cognition's Frontier Code Bench highlights the challenges of building effective evaluations for code, with OSS maintainers spending significant time on this task.
@dabit3 · Cognition
Cognition's laser focus on building the best agentic software engineering product is a key differentiator, allowing the company to deliver high-quality solutions to users.
@davidfromkansas · Cloud
DevinAI is empowering users like @davidfromkansas to create innovative solutions, such as cloud-based 3D model generation pipelines, that showcase the platform's capabilities.
@Hal_Wayland · Cognition
Cognition's SWE-1.7 Lightning is delivering impressive performance, but users like @Hal_Wayland are facing challenges with daily limits on the $20 subscription tier.
@kentcdodds · Cognition
DevinAI's agent architecture allows for isolated environments, flexible repository integration, and customizable spend limits, making it a versatile tool for developers.
@nvidia · Cognition
Nvidia introduces Nemotron 3.5 Lightning and NeMo Switchyard, aiming to enhance high-volume, specialized work with customizable models and optimized workflow routing.
@oscarlehuu · Cloud
Cognition cloud allows for easy fan-out of child sessions, enabling efficient management of agents and workflows.
@Synapse_Brief · Desktop
Nvidia's Nemotron 3.5 Lightning model and NeMo Switchyard router offer improved speed and accuracy, with potential applications in high-volume, specialized work.
@docdavkitty · Desktop
The sharpest framing of Devin Desktop we've seen from the community: it's less an editor with AI bolted on, more a cockpit for agents — including ones Cognition didn't build, thanks to ACP. If you still think of it as "Windsurf renamed," this piece is the correction.
@startdevin · Cloud
A concrete Fusion number from the field: one team says the two-agent split cut their agent spend about 41% versus running one frontier model end-to-end. Preview caveats apply, but this is the cost story Cognition is betting on, measured by a user rather than a keynote.
@mhamadajp · Cloud
Good JP practitioner framing of Fusion: it's not "pick a cheaper model," it's deciding *when* in a task the expensive model needs to think and when a lighter one can execute. Routing as a design discipline, mid-session — that's the actual shift.
Mochimochi (note) · Desktop
The JP community keeps producing the most complete Devin Desktop guides. This one covers the whole surface — and spends real time on non-engineer workflows, which most English guides skip. If your team has PMs or designers asking "can I use this too," the answer here is yes, with examples.
AI Engineer · Cloud
Big-audience panel (AI Engineer, ~600k reach) puts Cognition next to NVIDIA and OpenRouter on model routing — with a chapter literally titled "How Devin Fusion beats the frontier models." The shared thesis: capabilities are jagged, so the winning move is a frontier model that plans and delegates. Fusion is the case study.
Sarah Perez (TechCrunch) · Cognition
TechCrunch lands on the same read we did: Cognition didn't buy Poke for a model, it bought how an agent talks to you. The angel-investor detail is new — Scott Wu and Walden Yan had money in Poke's parent before the deal. Interface personality is now an acquisition category.
200OK Solutions · Cognition
The compare format we actually want more of: five agents (Devin included), one gnarly legacy codebase, and a list of what each *missed* rather than what each demoed well. Legacy code is where agent differences stop being marketing and start being architecture.
Inboxsmith (YouTube) · CLI
Kimi K3 in Devin Desktop and the CLI widens the model picker again — and the interesting bit is how it slots into FrontierCode 1.1 scoring rather than vendor benchmarks. Open-weight models graded on Cognition's own real-world eval, then shipped as options: that's the routing era working as designed.
LangChain · Cognition
Russell Kaplan on why Cognition built FrontierCode: SWE-bench is saturated, and the gap that matters in production isn't "did the test pass." Worth watching alongside FrontierCode 1.1's model grades — this is the eval Devin's routing decisions actually lean on.
Chrispathway (YouTube) · Desktop
A hands-on look at running a genuinely big project through Devin Desktop — not a demo repo, an actual codebase with the mess that implies. Small channel, but this is the kind of workflow footage that answers "sure, but does it scale past a toy app?"
O'Reilly · Cognition
O'Reilly put John Lindquist on DeepWiki: your agents don't need to clone a repo to understand it — they hook into DeepWiki over MCP and explore at the code level. DeepWiki keeps graduating from "nice docs site" to standard agent infrastructure.