Guy Podjarny

Software Factories are extremely valuable, but hard to build. @tessl_io's new product may have just solved that 🙂

- Simple onboarding turns a repo into a factory in moments.
- Template loops for code review, vulnerability remediation, cost optimization and more.
- Built-in self-improvement for loops, compounding your factory’s value.
- Interactive factory floor for tracking activity and solving problems.
- Clear and simple metrics to know what you’re getting.

Tessl factories are fully built on open skills, which you create, hone and own indefinitely. We help you create skills from your history, and the factory starts to self-improve them from here.

Lastly, Tessl factories are declarative and easy to understand and manage. Config files composing skills and environments into actions, actions and triggers into loops, and multiple loops into a factory.

This is the equivalent of Infrastructure-as-Code for factories. Instead of a bunch of disparate scripts you piece together to understand what’s happening, they codify what the factory does. This means Tessl factories aren’t just easy to setup, they’re easy to manage too.

At the end of the day, our job as tool builders is to delight our users. Solve real problems with strong technology and great UX, that help them run fast. I feel the Tessl Factory is getting this job done.

If it wasn’t obvious, I’m excited by our new product 🙂
At the end of the day, our job is delight our users, and I firmly feel the Tessl Factory does so.

As part of the launch, we’re offering $200 free credits to all users. Try it out, and let us know what you think - I can’t wait to see what you build.

Agent skills help agents use your products, build in your codebase and enforce your policies. They're the new unit of software for devs - but most are still treated like simple markdown files copied between repos with no versioning, no quality signal, no updates.

Without AI evaluations, you can’t tell if a skill helps, provides minimal uplift or even degrades functionality. You spend your time course-correcting agents instead of shipping.

@tessl_io is a development platform and package manager for agent skills. Today, I’m excited to launch on Product Hunt and announce that you can evaluate your skill and optimize them on Tessl. This means you can stop debugging agent output and start shipping quality code, faster. Real example: we've helped ElevenLabs ship skills that double agent success in using their APIs.

If you're building a personal project, maintaining an OSS library, or developing with AI at work, you can now evaluate your skill and optimize it to help agents use it properly. Check us out on Product Hunt. If it’s useful, we’d love your upvote - and even more, your feedback in the comments: producthunt.com/products/tessl…

Agent skills help agents use your products, build in your codebase and enforce your policies. They’re not just words - they are what the unit of software for agentic devs, and need powerful dev tools to match. That is what @tessl_io offers.

Tessl is the package manager and development platform for skills. It offers a full dev lifecycle, helping you generate, evaluate, distribute and observe skills & context, developing them to the professional grade they warrant.

Today, I’m excited to announce the general availability of our task evals, which help you understand how good your skills are. Such insight is critical to making your skills great, avoiding regression, and applying learnings from their real world usage.

For example: @Cisco's software-security skill shows a 1.8X improvement in securing coding in its benchmark, and @ElevenLabs's agents skill boosts success by almost 3X!

However, not to name names, we often see skills that provide minimal uplift while consuming context window space, or even degrade functionality.

As Spencer Kimball, CEO of Cockroach Labs, put it when we shared early versions of this: evaluation is what makes agentic coding outcomes converge instead of drifting.

Task evals are joining a long list of powerful context development tools, such as:
* Review skills against quality best practices
* Generate and maintain skills and docs for using your libraries & platform
* Distribute versioned skills to your dev team and ecosystem
* Consume skills easily and safely, and keep them up-to-date

Skills are a central part of software development. If you’re serious about making agentic dev successful in your org, or helping your customers’s agents use your products, you need to invest in them. We hope Tessl can help.

Check out links in the thread to get started!

What does an Observability solution built for agents look like? Do they need dashboards? Do they care about log formats? And how does such a product interact with humans?

I had a fascinating conversation about that and more with @mirko_novakovic on the @ainativedev . We discussed how :

- LLMs natively understand OpenTelemetry
- Humans like dashboards but agents like text
- Context is key to making agents work
- Use cases that work today with agents

Throughout, we had an open conversation challenging what is an observability product if you standardize the format, rely on 3rd party LLM analysis and take away the dashboard. Spoiler alert - there's much value to deliver, but it’s different!

Mirko founded @dash0hq, an AI Native O11y company, and previously built an 011y company called Instana, and sold it to IBM. He knows the space :)

Great conversation with a superb guest - a must listen!

Full episode here: tessl.co/swe

@HashiCorp just released Agent Skills for Terraform and Packer.

What’s interesting here isn’t the idea of Skills itself, but the focus on making agent behaviour repeatable and evaluable. These aren’t prompts, they’re structured, testable bundles of domain knowledge.

We worked with HashiCorp to evaluate the Skills using real task runs and evals in Tessl, looking at where they actually improve outcomes and where they don’t.

Feels like a solid step toward more reliable, AI-native infrastructure workflows. Less guesswork, more verification.

Check it out here: tessl.co/nsh