Tessl

Tessl is a developer tool. Agent enablement platform that turns coding agent context into versioned, searchable skills, then adds evaluation, security scanning and governance so teams can see what their agents actually run.

Tessl is an agent enablement platform: a management layer that sits between developers and the coding agents they already use. Rather than generating code itself, it organizes the context those agents depend on into reusable, versioned skills, then gives teams a way to distribute, evaluate, scan and improve them over time. The homepage frames the product as a progression from single skills to repeating loops to a full software factory. The practical case is skill sprawl. Without a shared index, a team can move from zero skills to hundreds of near-duplicates in a couple of weeks, each one burning tokens and solving a problem somebody already solved. Tessl Registry provides one searchable index across an organization and its private workspace so existing context is found before new context is written. From there, loops handle recurring work: automated code review against a standard written as a skill, skill optimization, security scanning with STRIDE and OWASP-style checks on every pull request plus scheduled whole-repository audits, documentation maintenance, test-and-fix, incident post mortems, and cost benchmarking measured in turns and tokens rather than rate cards. Governance is the differentiator. Teams can see which skills actually activate across the registry and projects, run before-and-after evaluations on every change to catch regressions, and set their own security standards once so each check runs against them automatically. The platform claims that one in seven skills carries a critical security risk, which is the argument for treating agent context like enterprise software at all. Tessl targets engineering organizations rather than individual hobbyists: the customer list runs from JetBrains and DeepL to Cisco, Zillow and ByteDance, and enterprise engagements include guided onboarding from a first loop to a full factory. Model choice is deliberately open, with Claude Code, Cursor, Codex and Antigravity named as supported harnesses alongside any custom agent, and provider swaps done through configuration. Teams comparing it to raw agent tooling or prompt libraries should expect a steeper setup curve in exchange for central visibility and auditability.